bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of spectrum analysis technology in health management of vehicle control system
Authors: Yao Zhao , Li Hejia , Zhou Liang
Published: August 2021

With the increasing complexity of vehicle control system, the failure rate has also been enhanced accordingly. Through traditional maintenance techniques, only the intact state of the qualitative vehicle control system can be achieved, and functions such as analyzing and predicting the hidden failure and technical state of vehicle control system, health management, etc., cannot be realized, which seriously restricts the formation of maintenance efficiency. According to the signal characteristics of the vehicle control system, the electric signal spectrum analysis method is used to realize intelligent detection, evaluation, management, fault prediction and diagnosis of vehicle control system performance indicators, so as to ensure vehicle control system is always in good condition, has a very important significance to improve the maintenance support ability of vehicle control system.
Research on problems and countermeasures in the application of substation intelligent inspection system
Authors: Zhao Min , Mao Yingke , Hen Qian , Zhou Yong
Published: August 2021

Substation plays an important role in the power system as the pivot of the power grid. With the continuous expansion of the power grid, the intelligent inspection system based on robots is widely used in the substation industry. However, the existing inspection robot has some drawbacks, such as low battery capacity, weak obstacle performance, slow movement speed, and blind areas during the inspection. This paper proposed some measurements aimed at these drawbacks, such as optimizing the robot performance, adding the image acquisition PTZ (Pan, Tilt, and Zoom camera) in fixed point, using the AR (Augmented Reality) glasses assistance. These approaches improve the efficiency and quality of the existing intelligent inspection system in the substation.
Corrosion fault identification model of substation grounding grid based on PSO-LS-SVM
Authors: Qin Jun , Miao Jin , Wu Xi , Wang Zibo , Shao Shuai
Published: August 2021

As one of the important equipment to ensure the normal operation of substation, the performance of grounding grid has been highly concerned. In recent years, researchers propose that the theory of electromagnetic induction can be used to diagnose and identify the corrosion fault of substation grounding grid. In this paper, a fault classification model based on LS-SVM optimized by PSO is proposed to identify the corrosion fault of grounding grid. Firstly, the wavelet packet transform principle is used to filter the original data, and the wavelet packet energy is used to construct the fault eigenvalue as the input of the fault classification model. Based on LS-SVM, a corrosion fault classification model is constructed, and particle swarm optimization method is used to optimize the parameters of the model, which solves the problem of traditional SVM parameter optimization. Through the practical application in substation, the model proposed in this paper can identify the corrosion of grounding grid conductor without excavation and power failure, which provides an effective scheme for engineering application.
A 1064 nm single-photon lidar for three-dimensional imaging
Authors: Guo Jingjing , Fei Xiaoyan , Ge Peng , Li Zhengqi , Lv Yang , Sheng Lei
Published: August 2021

Single-photon light detection and ranging system has been widely used in three-dimensional (3D) imaging for its advantages in weak echo detection and high resolution. However, long-range imaging is a great challenge due to the device performance limits and strong solar irradiance. In this paper, we experimentally demonstrate a single-photon imaging system with an operation wavelength of 1064 nm in daytime. An all-fiber optical system with a two-dimensional rotation platform is designed to realize a wide scanning. And a sub-pixel scanning method is used to improve spatial resolution. Image reconstruction is based on the iterative shrinkage-threshold algorithm; herein the noise threshold is self-adaptive to the received photon-counting distribution. Multi-range information can be retrieved from each pixel and 3D point cloud is finally generated. Results show that the range resolution is 38 cm and the spatial resolution is about 7.4 cm at the distance of 2.13km, three times of the diffraction limit of the optical system.
The simulation and evaluation of fatigue/load system in basic nursing based on JACK
Authors: Zhang Qian , Tao Jiaqing , Yang Qiuyu , Fan Shuhai
Published: August 2021

The potential occupational hazards of job fatigue and musculoskeletal strain may occur in the long-term basic nursing work of nursing staff. Now from the perspective of human factor engineering, combining with the ergonomics simulation software Jack, the metabolic energy expenditure module is used to calculate the work energy consumption, and the Fatigue Analysis module is used to verify the fatigue of nursing staff. Aiming at the process of nursing staff massaging patients in the basic nursing work, the overall design scheme based on Jack simulation model was proposed, each sub-task was detailed, and the relevant parameters were determined. The results show that the design can directly reflect the energy consumption, body condition and fatigue recovery time of nursing staff in each sub-task, so as to avoid the overload of nursing staff.
Design and application of intelligent equipment management platform
Authors: Li Dongqi , Liu Peng , Huang Guotai , Ma Yuan , Xie Zheyu , Li Yunfeng , Huang Xin
Published: August 2021

Discrete manufacturing enterprises are developing towards the direction of intelligence. This paper designs an intelligent equipment management platform aiming at the equipment management and production efficiency problems of discrete enterprises. Intelligent method and advanced IE technology are used to provide a safe and efficient intelligent equipment management platform for discrete manufacturing enterprises through signal processing technology, multi-sensor sorting technology, big data analysis, artificial intelligence technology and visual design (based on the principle of information processing economy). According to the improvement, monitoring, early warning and analysis can understand the status better of workshop equipment in real time, provide decision-making basis for the enterprise and workshop managers, and ultimately improve the overall efficiency and management level of the enterprise, improve the operation efficiency and emergency command ability of the enterprise, and strengthen the core competitiveness of the enterprise.
Research on nxug10.0 impeller automatic programming and DMU50 five axis machining center
Authors: Ye Xuanlin , Luo Ji , Zhang Wu , Zou Zou
Published: August 2021

Taking nxug10.0 software as the platform and impeller as an example, this paper analyzes the structural characteristics and processing difficulties of impeller, reasonably formulates the NC processing scheme, and uses nxug10.0 impeller processing module to plan the tool path, generate the tool path file, and simulate the processing to verify the correctness of the tool path. The NC program of impeller is generated by special post processor and uploaded to DMU50 five axis NC machining center to complete the actual processing of impeller. Through the detection of impeller, the results show that the impeller fully meets the design and use requirements.
Research on optimization method of motor manufacturing layout based on genetic algorithm
Authors: Fan Shuhai , Zhang Qian , Tao Jiaqing , Yang Qiuyu , Ling Ning
Published: August 2021

The current layout of the motor manufacturing workshop lacks flexibility, which leads to large logistics flow between some operation units, long logistics transportation path and large area occupied by semi-finished products inventory. Now, the motor manufacturing workshop matching mathematical model with the minimum material handling amount and the maximum tightness between each operating unit is established, and the mathematical model of motor manufacturing workshop layout optimization is solved by Matlab. In the solution step of the algorithm, the preliminary optimal layout of the motor workshop obtained by the system setting and arrangement method is combined with the randomly selected individuals to generate the initial population. Through a series of genetic operations and continuous iterative process, the final optimal layout scheme is obtained. Finally, it is verified that the improved genetic algorithm has certain research significance and application prospect for the layout optimization of motor manufacturing workshop.
Cylinder head gasket design optimization based on high definition metrology
Authors: Yin Yaxiang , Wang Kun , Shao Yiping , Du Shichang , Xi Lifeng , Xia Tangbin
Published: August 2021

Traditional cylinder head gasket design is based on the assumption that the mating surfaces’ form is ideal plane. However, high definition metrology (HDM) shows that the top surface of cylinder blocks and the bottom surface of cylinder heads are far from ideal plane and presents a macro form error. To compensate the macro form error of the mating surfaces, a gasket design optimization method is proposed in this paper. It mainly consists of two modules. The first module is surface alignment and gap calculation. Measured surface topography is aligned by control point registration and the control points are found by region labelling algorithm. The second module is gasket design optimization based on surface gap. A case study shows the details of the proposed gasket design optimization method.
Performance degradation assessment methodology of harmonic reducer by using low-frequency time series data and genetic programming
Authors: Yan Tongtong , Bi Zhihao , Liu Jihao , Zhao Yanzheng , Zhao Yiyang , Wang Dong
Published: August 2021

The harmonic reducer, as an important transmission component in the industrial robot, determines the positioning accuracy, carrying capacity, and service life of the industrial robot. However, the performance and reliability of harmonic reducer will gradually decline or even fail under long-time and high-intensity operations. The sudden stop and failure of the industrial robot will directly affect production efficiency. In this paper, a data-driven method for performance degradation assessment (PDA) of the harmonic reducer is studied. An accelerated degradation test rig was set up to collect the run-to-failure datasets of harmonic reducer, including process data, such as torque and speed, and non-process data, such as vibration signals, which were captured under a low sampling frequency. Firstly, a sliding window-based kurtosis and root mean square (RMS) are applied to non-process data, which can detect the incipient failure time (IFT) of harmonic reducer. Subsequently, a data-level fusion of process data is conducted based on genetic programming to construct a monotonic health index for degradation assessment and trend analysis. The experimental study shows that the proposed method is effective to realize the PDA of harmonic reducer.
Joint optimization strategy of condition-based preventive replacement and spare parts ordering for multi-unit systems
Authors: Ye Hongqing , Wang Haochen , Su Huade , Lin Jie , Weng Wei , Zheng Meimei
Published: August 2021

To solve the joint optimization problem of condition-based maintenance and spare parts ordering for multi-unit systems, an exact formulation based on the Markov decision process is proposed. The condition of components is described by a continuous process, i.e., the Wiener process. The system is inspected periodically and the remaining useful life is updated based on components’ condition. Through the value iteration algorithm, the optimal policy is obtained by minimizing the average maintenance and ordering cost. A numerical investigation with a two-unit system is conducted to validate the effectiveness of our policy by comparison with the threshold strategy.
Design and Analysis of PCB Transformer in Direct Current Distribution Network
Authors: Tao Ma , Lei Hou , Maopeng Zhang , Yajie Zhang , Yusen Zhang , Zhen Sun
Published: August 2021

In order to accurately calculate the leakage inductance of the PCB transformer and improve the reliability of the PCB transformer, a PCB transformer is designed and analyzed in this article. Firstly, the magnetic core and winding design of the PCB transformer are studied in this paper, and the leakage magnetic field and temperature field of the PCB transformer are calculated by using the finite element software. Finally, experiments were performed on the leakage magnetic field and temperature of the PCB transformer to verify the correctness of the proposed scheme.
Bridge Design between AXI Lite and AHB Bus Protocol
Authors: Patel Jaymin , Shah Yash , He Lili
Published: August 2021

Architecture of bridge model between AXI Lite and AHB for this paper were simulated using Synopsys VCS and DC in Verilog HDL. Bridge structure mainly comprises of arbitration techniques, control signals, multiplexing techniques for writing data signals and Decoder for reading data section. In this work, bridge model between AHB and AXI lite was simulated and characterized. The proposed model of bridge design provides efficient communication between on chip bus protocols like AXI and AHB on chip in the era of deep sub-micron technology where channel side is reduced as much as 5 nm.
Voltage Stability Analysis based on Power Voltage (P-V) and Reactive Voltage (Q-V) Curves in Transmission Lines Using Static Var Compensator (SVC) with the Power Factory Program
Authors: Valentin Nilson , Prieto Erick , Chauca Mario
Published: August 2021

Due to the great demand for energy, electrical power systems, when subjected to voltage stress, present voltage instability, generating blackouts in the system with economic losses and in the components. Through a static approach, the P-V and Q-V curves are widely used in operation studies, planning that allow us to detect the weakest bus in the system to obtain the exact location in which to connect the SVC to compensate with reactive power in order to have system voltage stability. Through this article, we evaluate a voltage stability study on the IEEE-9 bus with the Dig-Silent Power Factory 2020 program in order to compensate the system with reactive power.
Research on Fault Tolerance Consistency of Multi - Agent Based on Event Triggering Mechanism
Authors: Wang Jun , Li Yali
Published: August 2021

For the multi-agent system with directed topology, considering the possible actuator faults of any agent, the robust H
∞ fault-tolerant consensus controller design problem is studied when the system is disturbed by external finite energy. Firstly, a distributed event-triggered fault-tolerant consistency protocol is proposed, which is used to transform the fault-tolerant consistency of distributed multi-agent systems into the stability of time-delay systems. Secondly, by using Lyapunov stability theory, a sufficient condition for the fault-tolerant consensus of the multi-agent system is given for the actuator faults that may occur in any agent. A cooperative design method that saves network communication resources and realizes fault-tolerant consensus control is obtained, which makes all states of the fault multi-agent system asymptotically consistent and has a certain disturbance rejection performance. Finally, the feasibility and effectiveness of the proposed method are verified by simulation.
Design of a Robot for Pipeline Weld Quality Inspection
Authors: Li Cui , Zhou Ruitao , Wang Xiaohui
Published: August 2021

In the quality assessment of welding engineering, quality of the weld can reflect the welder’s technical level, and also serves as the basis for preliminary judgment of the quality of the weld. Therefore, the appearance quality inspection of the weld has an important position in the welding quality assessment. This paper designs a pipeline weld quality inspection robot based on visual inspection. Inspectors control the motor, lights and camera pan-title of the pipeline robot through WiFi to realize the accurate positioning of the robot and the shooting and transmission of real-time images. The movement distance of the robot is recorded by the encoder to ensure the accurate positioning of the robot; the motor speed is adjusted to ensure the level of the pipeline robot body; the height and rotation angle of the pan-tilt are adjusted to ensure that the camera shoots the weld image radially at the center of the pipeline. The experiment shows that the transmission of robot image is smooth, and actions can be completed according to instructions.
Minimalistic Control Scheme for the Development of Search Tasks with Flocks of Robots
Authors: Martínez Fredy
Published: August 2021

This paper proposes a minimalist strategy of agent coordination in a multi-robot system with flocking behavior intended for the development of search tasks in dynamic and unknown environments. The minimalist design principle seeks the ability to implement the strategy on small low-cost robots, with hardware limitations, and with small functional variations among them, a real case of most robotic platforms. We also seek a robust decentralized strategy (without central control) where all agents are virtually identical from the functional point of view, and therefore the damage of a fraction of these agents does not prevent the development of the task. In this sense, our scheme is based on local readings, from which the agents identify the region of the environment in which they find themselves, including obstacles and neighboring agents, and from this information autonomously establish their movement strategy to produce the flocking dynamics to the system. The navigation of the environment is guaranteed by relaxed ergodic movement rules, and the convergence of the search process is achieved by grouping a given number of agents in a particular region of the environment. The strategy was successfully evaluated by simulation by replicating the functional characteristics of real robots and scaling them to large populations.
Analysis on Network Traffic Features for Designing Machine Learning based IDS
Authors: Meemongkolkiat N , Suttichaya V
Published: August 2021

An intrusion detection system (IDS) is the most important technology for securing network systems. It can dynamically monitor network traffic for malicious activities that are aimed to violate confidentiality, integrity, authenticity, and availability of the network. Currently, several Machine Learning (ML) techniques are used to design and implement IDS since ML techniques can capture the complex nature of cyberattacks. However, network traffic information usually contains unimportant features that can deteriorate the efficacy of ML-based IDS. This research analyses the critical features in network traffic to be used for design/implementing the effective ML-based IDS. The selected features are applied to different ML methods to test the effectiveness. This research is conducted on the CICIDS2017 dataset generated by the Canadian Institute of Cybersecurity, using 30 percent of the full datasets and 100 percent of the Wednesday set. The best result achieved for 30 percent of the full set is by using 30 chosen features with the Bagging ensemble classifier giving the accuracy of 99.9 percent with the false-positive rate as low as 0.03 percent. The best result achieved for Wednesday set is by using the Random Forest Classifier which achieves an accuracy of 99.9 percent and a false-positive rate (FPR) of 0.02 percent.
Context Aware Combat COA Recommendation using Preference Learning
Authors: Jin Xin , Wang Xinnian , Cai Fei
Published: August 2021

In the daily combat readiness duty, faced with emergencies, time window left for decision-making is limited, far from enough to research and design a totally new COA (Course of Actions). However, using the state-of-the-art AI technologies, it is yet unable to autonomously generate COAs of trust. From the perspective of practicality, it is effective to improve emergency response efficiency, by making use of historically accumulated COAs. Similar problems have similar solutions, which is especially suitable for fields with incomplete knowledge systems and limited data accumulation. An intelligent method of COA recommendation is proposed, which can accurately recommend appropriate COAs based on current mission requirements, battlefield situation, and preferences. Based on the recommended COAs, user can form a new COA more efficiently, faced with emergencies. As a solution for AI technology supported combat decision making closer to practical, the method has certain reference value.
The “Delegate of Data Protection”: Strategic Planning in information security Case Ecuador
Authors: Jácome Tannia Cecilia Mayorga , Jumbo Joe Luis Carrión , Bravo Álvaro Gabriel Benítez , Herrera Henry Rodrigo Vivanco
Published: August 2021

Information security over time has been taking important scenarios in the world, along with regulations and laws have had to adapt to this evolution in such a way that protection, compliance, and sanctions are guaranteed. A sample of this is the new European Data Protection Regulation in force since May 25, 2018, where it administers the function of “Data Protection Delegate” (DPD) or Data Protection Officer (DOP). Since this position is new to the rest of the world, concerns arise about the functions that it will have to fulfill in Latin American countries, where most of them already have a Data Protection Law but not with the position of Delegate as such. This study aims to justify the need for this new position, through a SOWA analysis of PESTEL, compilation of reports, interested stakeholders of the project, in addition to publicizing the guidelines, roles, fields of action, risk prevention and audit in terms of compliance.
A comprehensive model for the forest fire consequences assessment
Authors: Mochalov V F
Published: August 2021

A model for the forest fire consequences assessment based on integrated processing of multispectral space imagery and ground survey data is presented. The focus is on the following steps: initial data gathering for further automated clustering of landscape elements; clustering; and cross-validation of the results of the forest fire consequences assessment. The modelling assesses the following indicators: the burned area size, forest fire type, and the main burned plant community types.
Estimation of forest lands value by David Ricardo differential rent theory, linear programming model and GIS technologies
Authors: Alekseev A
Published: August 2021

Integrated research approach joining the David Ricardo theory of differential rent, linear programming theory and GIS technology used for developing the methodology for differential rent determination and calculations for forest lands in the way similar as to agricultural ones. Special linear programming model was developed and resolved to obtain the rent estimations on the base of information offered by GIS data base on forest plots productivity and location regarding transportation network characteristics. Implementations of forest rent estimations for forest lands value assessments, forest management and economics was discussed. Rent values was calculated as an example for Lisino training and experimental forest of Saint-Petersburg State Forest Technical University. As a result of implementation of rental approach for forest resources assessments the value of forest lands significantly elevates as much as approximately on 5 times. Forest rent as an extra income originated from forest plots natural characteristics suggested to be used as a main source of so-called “long-money” needed for investments in forestry especially in boreal zone with long rotation period.
Selecting a harvester head using digital modeling
Authors: Karpachev S P , Bykovskiy M A
Published: August 2021

The article presents theoretical and experimental studies on the justification of the harvester head selection. A mathematical model of the harvester’s work has been developed based on natural and constructional-technological factors. The results obtained make it possible to justify the characteristics of the harvester head for the Siberian region of Russia, in particular, the maximum width of the gripping levers opening of the harvester head. When selecting the harvester head, it is recommended to proceed from the fact that some of the large trees can be left in the cutting area. Felling of such trees can be done with chainsaws. For the forests of the Siberian region of Russia, a harvester head with a maximum width of the gripping levers opening of the harvester head of 750-850 mm is recommended. In this case, the harvested number of trees without taking into account the thin gauge will be 94.1-99.1 % of the total number of trees in the cutting area, and the volume of harvested wood-99.1-99.9 %.
Remote sensing for environmental safety of forest ecosystems within the tailings impact of a closed tin ore company
Authors: Krupskaya L T , Orlov A M , Bubnova M B , Filatova M Y , Kolobanov K A
Published: August 2021

The article presents the results of the study of the problem of developing the scientific basis for ensuring the ecological safety of forest ecosystems using remote sensing of the Earth. We are talking about increasing the degree of their protection in the conditions of increasing the negative impact of pollution by waste from the processing of tin ores in the Vysokogorsky tailing dump of the closed Khrustalnensky GOK. Therefore, the aim of the study was to use methods of remote sensing of the impact on the forest ecosystems of the tailing dump to solve environmental problems. The article presents the principles of ensuring their environmental safety from waste, taking into account geoinformation technologies. The article presents an analysis of the current state of the tailing dump surface as a source of intensive technogenic pollution of forest ecosystems, and an assessment of the processes of evolution of environmental components after the termination of technogenic impact using remote sensing of the Earth. The use of remote sensing methods made it possible to clarify the migration routes and the nature of the flows of pollutants from the discarded tailing dumps. Ways to reduce their negative impact on forest ecosystems have been developed.
Universal competence “communication” in the digital age
Authors: Lukyanova L V
Published: August 2021

The article examines a new didactic approach to the formation of the universal competence “communication” in the framework of the course “Oratory and Rhetoric”. The strategic goal of training is to bring up a strong linguistic personality with a high level of speech-thinking culture. In the proposed training system, a modern polycode text becomes a promising object of analysis and a tool for the development of communicative competence. The results of scientific and methodological research have been tested by the author in contact and distance activities involving graduate students of St. Petersburg State Forest Technical University; they are reflected in the work program of the discipline and in the textbooks prepared by the author. The results obtained testify to the effectiveness and prospects of the chosen approach.
Algorithms for calculating schemes of transport routes in a felling area
Authors: Rego G E , Grigoreva O I , Voronov R V
Published: August 2021

The study considers the problem of constructing routes for the export of timber. The task reduced to building a rooted tree. The study presents two approximate algorithms for solving the problem of covering polygons with rooted trees. To simplify the task, the polygon is covered with a square grid. A greedy algorithm is described that should give an approximate solution. The article also describes the branch and bound method with a reduced number of iteration options. We have reduced the number of iterations by using a special way of building links.
Digitalization as a tool for increasing business process efficiency in logging
Authors: Zagorodniy D V , Tereshchenko S V
Published: August 2021

The article considers digitalization as the main factor in optimizing business processes in logging. Analyzed the main trends that affect the digitalization of the industry and arising issues in this process. This article discusses the role and criteria of data and information reliability and how you can use them to create better products. The author proceeds from an understanding of the important role of data in the modern logging process and creating a working production platform on its basis. The results outline the main factors that will contribute to the successful development of digital technologies in logging.
The methodology for solving the multi-criteria problem of choosing a tool for the development of intrapreneurship for Russian corporates
Authors: Ivanov S A , Nemilentsev M K , Zementckii I V , Shchipanov E F
Published: August 2021

The article is devoted to the problem of the development of innovations within the framework of internal entrepreneurship (i.e. intrapreneurship). The main objective of the study is to develop a methodology for solving the multi-criteria problem of choosing a tool for the development of intrapreneurship for a private or public company, regardless of its industry affiliation. The relevance of the intrapreneurship problematics for modern Russian corporates is revealed. As a result, a conceptual model of the decision support system is proposed, and directions for its refinement and complication are indicated.
Calculation of the coal seam natural gas content
Authors: Ryabtsev A A , Kozyreva Ye N
Published: August 2021

A research and methodological approach to calculating coal seam natural gas content and coal methane spatial resource evaluation is introduced in the paper. The research is based on the geological survey data about inclosing massif stratigraphy and natural properties of coals. Stresses that act in a coal seam are also taken into account here. The results allow substantiating safety-on-gas-factor technological parameters of coal mining processes beforehand.
Substantiation of outburst danger automated monitoring on amplitude frequency characteristic median of the operating equipment noise and methane concentration in the mine working medium
Authors: Shadrin A V , Kontrimas A A
Published: August 2021

Basic requirements to the methods of current outburst danger prediction are formulated. The methods must be applied in the process of mining not interfering with the works and taking into account basic factors that cause the outbursts and they should have scientifically grounded methodology for fast definition of outburst danger criteria under certain mining, geological and engineering conditions. It is shown that geophysical prediction methods can meet the first requirement. Rock pressure, in-situ gas pressure and coal strength are taken as basic factors of outburst danger. Some well-known geophysical method such as a method of acoustic emission, a spectral-acoustic method, a gas analytical method and a temperature method taken separately do not satisfy the second and the third requirements. That is why it is suggested controlling rock pressure by spectral-acoustic method, gas pressure by means of gas analyser on methane concentration at the face of the working while mining coal and coal strength should be measured by a strength measuring device. To improve the accuracy of the prediction a version of spectral-acoustic method based on dependency of amplitude-frequency characteristic median of mining operating equipment noise on average stresses at the section between the source of the noise and geophone. The criterion of outburst danger is substantiated and the algorithm for arranging automated monitoring of coal seam outburst danger is offered.
Analyzing the vibration parameters of gas-cleaning units operated in coal and mining industry of Kuzbass
Authors: Gerike P B , Gerike B L , Klishin V I
Published: August 2021

Some research results on analyzing parameters of vibration generated during operation of different types of gas-cleaning and aspiration systems dynamic equipment exploited at Kuzbass coal and mining enterprises are generalized in the paper. An attempt to give grounding for developing diagnostic criteria for assessing technical condition of these equipment was done. The purpose of the research is in improving the existing techniques for standardizing vibration parameters and creating an algorithm for developing unified diagnostic criteria based on diagnostic features and rules classification applied for detecting the industrial fun dynamic equipment defects. In the framework of the research a comprehensive approach to analyzing vibration was applied and the obtained results proved the effectiveness of the introduced set of diagnostic techniques for analyzing vibration parameters of industrial fans and for the development of unified criteria of evaluation and forecasting. The obtained scientific results confirm the general effectiveness of the introduced approach to analyzing vibration parameters using the developed unified criteria for diagnosing physical state of the industrial fans.
Outlet facility to pass coal flow to armored face conveyor
Authors: Nikitenko S M , Khudyntsev E A , Kizilov S A , Korolev M K
Published: August 2021

The authors review the international experience in thick coal seam mining. Advantages and disadvantages of multi-slice and full-seam longwall mining technologies are compared. The low-efficiency multi-slice longwall mining is little used and is being replaced by the full-seam longwall top coal caving technology with undercut and with top coal disintegration under the physical effect of overburden pressure. In the recent decade, the longwall mining systems used in top coal caving have been given additional functions connected with control of coal extraction above and behind the powered roof support. The authors have examined the patent documentation and invention activity in the field of the LTCC methods and equipment in the top coal mining countries. This paper describes the revealed trends in engineering facilities capable to enhance efficiency of longwall top coal caving in mining of thick coal seams. Different type feeders are described, and recommendations on their application are given.
Greenhouse gas emissions inventory in a coal mining region
Authors: Tailakov O V , Zastrelov D N
Published: August 2021

The estimate of greenhouse gas (GHG) emissions at the regional level was carried out. The volumes of greenhouse gas emissions were set aside by sectors “Power generation”, “Industrial processes and products use”, “Agriculture, forestry and other options of land use”, “Wastes”. The possibilities of reducing GHG emissions in the “Power generation” sector by replication of coal mine methane (CMM) processing technologies in modular boiler-houses and gas-generating container type stations aimed for thermal and electric power production are considered.
Improvement of the technology of resistance butt welding of rail strings for access railway lines
Authors: Kozyrev N A , Shevchenko R A , Kryukov R E , Usoltsev A A , Prudnikov A N
Published: August 2021

To ensure the quality of the welded rail joint, a study of the level of contamination with non-metallic inclusions of E76KhF rail steel (base metal and weld seam) was carried out. It was found that the predominant type of nonmetallic inclusions in welded joints in all studied samples are point oxides. It is shown that the modes of resistance butt welding do not affect the contamination of the samples.
Improvement of rail strings durability used for access railways at mines
Authors: Kozyrev N A , Shevchenko R A , Usoltsev A A , Kryukov R E , Prudnikov A N
Published: August 2021

The study of the structure of welded joints of E76KhF rail steel at new modes of electric contact welding with the use of additional treatment with electric current was carried out. It was found that the structure of lamellar pearlite prevails in the weld zone. In the course of the study, the optimal welding parameters were determined, due to which it is possible to obtain the required favorable material structure.
Use of natural draught for improvement of airing efficiency in the oil mine production unit
Authors: Nikolaev A V , Klishin V I
Published: August 2021

A method of airing the oil mine production unit, in which a heated oil reservoir is separated from the working area with a thermal barrier, is proposed. The evaporator of the air conditioning system will cool the air in the working area, and the heated air will be “blown out” from the condenser behind the thermal barrier and further through the well to the surface. In this case, two sections will be formed: one with heated air and the other with cooled air flows, thus causing a natural draught that contributes to airing. In this case, in addition to providing comfortable working conditions in the working area of the production unit, it will be possible to reduce energy costs for oil mine airing.
Design sensitivity analysis in the kinematics of the 4SS-axle guiding mechanism with Panhard bar
Authors: Alexandru C
Published: August 2021

This work deals with the design sensitivity analysis in the kinematics of the vehicle rear axle guided by four points - on four spheres (so called 4SS), with Panhard bar. The geometric parameters that define the kinematic scheme of the axle guiding mechanism are considered in this study, which aims to identify the influence of these parameters on the specific kinematic functions. The purpose is to achieve a separation of geometric parameters depending on their influences on the objective functions to be optimized from a kinematic point of view, so as to simplify the process of effective optimization, by taking into account (as design variables) only the main parameters.
Compression testing of samples printed on Delta and Cartesian 3D printer
Authors: Ratiu M , Prichici M A , Anton D M , Negrau D C
Published: August 2021

This paper presents a short part of a larger research and consists in the investigation of the compression behavior of samples printed on two 3D printers, one Delta and one Cartesian, from three types of the commonly used materials, Polylactic acid (PLA), Carbon fiber PLA (CF-PLA), and Polyethylene terephthalate glycol (PETG). After a specific introduction regarding the subject, the printing parameters used for printing the samples are exposed, in a table, followed by a paragraph on the compression testing, both with general and particular information, on this case. The research being under development, the first set of results obtained is presented, further tests and analysis following in order to realize a comprehensive characterization of the 3D printed materials’ behavior.
Oil condition monitoring, an AI application study using the Classification Learner Technics
Authors: Grebenişan G , Salem N , Bogdan S , Negrău D C
Published: August 2021

The present study uses an estimation and prediction method and characteristic techniques to predict the life of the lubricating oil based on data collected directly from the mechanical or hydraulic system. The collected data is part of a complex data set with 19 lubricating oil status parameters resulting from online measurements on an experiment stand built and operated under conditions similar to those in a mechanical machining company. The data set was collected during six months, continuously validating the data in several 258646 instances for 19 operating parameters. To predict the values of the next steps of a sequence, the Classification Learner Technics has been approached by support vector machines (SVM) models. The answers obtained characterize and equate the training sequences with values changed by a step of the time, and this means that at each stage of the input sequence, the data structure learns to predict the output value at the next time step. To prevent divergence of the forecast, it was necessary to standardize the training data so that it will achieve a zero mean and unit variance. Also, the test data set has been normalized in the same way as training data.
Experimental studies regarding the thermal operating regime for SCR catalysts of heavy-duty commercial vehicles
Authors: Capătă D M S , Popa M F , Dan T , Burnete N
Published: August 2021

SCR, selective catalytic reduction, is the most efficient method for treating nitrogen oxides – one of the main pollutants of internal combustion engines. The SCR system involves the injection of a reductant (the solution AdBlue) in the exhaust gas flow, the reduction of the oxides being achieved in the catalyst’s interior [1,4,6]. The operating limits of the SCR system are given by need to maintain the temperature conditions for the injected solution as well as the catalyst and its internal components (oxygen and temperature sensors, reductant injector) [2]. Overheating the AdBlue injectors may have a major influence for the operation of the SCR system, the deposits of the decomposed solution within the injectors leading to the system’s out of use. Thus, maintaining an optimum thermal regime by cooling the AdBlue injectors becomes a required solution for a good functioning of the entire system. The paper presents experimental studies in relation to the thermal evolution of SCR catalysts on heavy-duty commercial vehicles in different turnover situations as well as an analysis of the measured values.
Development of a data acquisition system for a vacuum thin film deposition equipment
Authors: Ghincu R. V. , Ţarcă D.I. , Moldovan O. A.
Published: August 2021

Digital data acquisition is a must for precise data collection, and monitoring systems should be present on all modern equipment. This article focuses on improving the vacuum deposition systems already present in the SMARTMAT laboratory at the University of Oradea. Previous advancements have been made in installing vacuum chambers and digitally monitoring the vacuum level with the final objective of having a complete and versatile vacuum deposition system: magnetron sputtering, RF sputtering, and resistive heating. This article proposes a complex monitoring system based on modern sensors, data acquisition modules, and a processing and storage unit capable of monitoring all the vacuum deposition steps regarding the resistive heating system. The monitoring system can show real-time charts and store all the data in a database to be further used in modeling. As we already have a digital monitor system for the vacuum level, we have developed a monitoring system for temperature, voltage, and current, thus completing the design and controlling the whole evaporation process.
Control system for FDA deposition using a CNC milling machine
Authors: Negrau D C , Grebenisan G , Ratiu M , Anton D M
Published: August 2021

This paper presents the command and control part of a 3D printhead, the command and control that is made by combining the PLC of a CNC milling machine with the electrical assembly of an extruded head for FDA(Fusion Deposition Adhesion) processing.

The command and control part of an extruder head is presented. On the same, the paper shows how to connect to the PLC of a CNC and presents the use and operation of an extruder block for FDA machining on CNC
Researching particulate matter characteristics for mitigating health risks generated by road vehicles
Authors: Andrei L , Chindea V , Baldeăn D L
Published: August 2021

Research of PM (particulate matter) emissions is very important in crowded areas with high values of road traffic and industrial sites because may affect the health significantly. To mitigate the health risks generated by motor vehicles, the present paper shows the applied research on this topic with the practical results. The first important objective of the paper is to study the characteristics related to particulate matter in emissions generated by a car in actual road traffic test. The second objective is to compare the results from cold and warm operation regimes. It is important to know the trendline of PM emissions during operation due to their influence upon health. The PM amount is influenced by engine speed, fuel consumption and other operational factors. High levels of PM were recorded at 1500 rpm because it was the upper point in which the gear ratio has been changed.
Autonomous vehicles: classification, technology and evolution
Authors: Scurt F B , Vesselenyi T , Tarca R C , Beles H , Dragomir G
Published: August 2021

In the context in which most industries focus on digitalization and automation of production processes and on developing new products, the car manufacturing industry is advancing significantly. The automotive industry together with the IT field, are at an advanced stage in terms of the structure of autonomous vehicles, developing new technologies. The objective of this paper is to present the current state of technology regarding autonomous vehicles. Aspects regarding the devices and technologies used in the construction of these vehicles are approached, but there is also information regarding the way of classifying them according to the driver’s assistance level. In addition, some information about the evolution of automated vehicle development is presented.
The variation of the turnover and its effect on the exploitation risk
Authors: Stoenoiu Carmen Elena , Serban Florica Mioara , Cristea Ciprian
Published: August 2021

Through this study, an analysis was made of the relationship between the result, the volume of activity and the cost structure for a multiproduct enterprise. It was considered that enterprises are constantly facing the need to explore and exploit new production possibilities and for this they need to permanently reconfigure their product portfolio. In order to achieve this, the company must have a control of fixed and variable costs that will allow it to choose the volume of activity correlated with the internal characteristics and information on the market. The statistical calculation was used to calculate the risk associated with turnover through the covariance coefficient. As the size of the risk depends on the company’s ability to control the cost structure and to act to reduce possible volume variations, turnover was considered to be the most important indicator that should be given high importance and should be constantly monitored. Thus, from the study it can be seen that the change in turnover determines the change in the risk coefficient.
Models for measuring the performance of an organization
Authors: Mitrea-Curpanaru G G L
Published: August 2021

The complexity of managing an organization today requires that managers be able to measure performance and analyze the impact of different dimensions of performance on organizational excellence. Many experts in the field have started talking about the importance of measurement as a means of communication. The customer can provide information about the physical quality - the appearance of the product, about the functionality and performance of the product, characteristics that are also related to quality. If the product is used in the performance of a service, then the quality of this service is directly proportional to the quality of the product. A mixed performance management model is concerned with both inputs and outputs. The selection of the best model to improve performance is based on a self-assessment process. Organizational excellence is measured by the organization’s ability to achieve and maintain exceptional results simultaneously for all stakeholders.
Line follower mobile robots, prototypes of robots and functional of mobile robots
Authors: Anton D M , Szabo S E , Mociar C A , Iuhas A F
Published: August 2021

This study presents the working principle of line follower robots. This study starts from the description of the components used in robots of this type to the explanation of the functions used to program robots in the C ++ programming language and the use of multiple cases and exceptions in the programming of robots of this type, because they can be used in different ways and domains and for these, the multiple working characteristics must be determined from the beginning. The study establishes the way these robots work, for a future project to create a family of disinfection robots with UV-C neons.