bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural stability assessment and damage recovery studies for re-manufacturing aging grinders
Authors: Bhandari Krishna Singh , Jung Dong Won 
Published: May 2022

Abstract
Remanufacture the used product saves money along with maintaining waste material. Trash material are concern and need to reuse. So remanufacturing technologies is important. Big companies are interested in producing product from reusable materials. Remanufactured products are increasing because it has a benefit for environment as an eco-friendly and energy-economical product. One of big reason for that is, because those materials are part of nature. Remanufacturing is defined as a series of processes to re-commercialize end-of-life products and parts as new products. Various remanufacturing markets already exist throughout the world. However, the size and types of remanufacturing markets differ according to as per demand and country. In this paper, grinding machine damage part was studied for restoration technology. likewise grinding the spindle and chrome deposition. The cause of the damage was evaluated by the damage recovery method. Additionally repaired the surface by deposition of hard chromium plating. The scratching of the stones and tables was examined.
Computer modeling approach for multilayer interlocked woven structures
Authors: Patumchat P , Chaikumming W , Sala-ngamand S , Sriprateep K 
Published: May 2022

Abstract
This study aimed to simulate the geometric modeling of the multilayer interlocked woven structures in three dimensions (3D) using computer aided design (CAD). The simulation of yarn was composed of fibers assembled together for presenting the structures. Two and three layers for multilayer interlocked woven structures were simulated with a filament assemble model and compared with yarn path of single line model. The result showed that the new model developed was more realistic than the previous works. The strength of these models is required as an input to many computational methods such as simulation the tensile/bending properties of fabrics structure or composite parts, forecasting the fiber volume fraction of fabrics.
Research on improvement of vacuum pump production system based on value stream analysis
Authors: Zhu Jinghao 
Published: May 2022

Abstract
In this paper, H company vacuum pump V8 products as the research object, combined with lean production theory and value stream diagram analysis method to identify the key waste problems in the production system; and from the production line balance, facility layout optimization, work in process inventory lean and other aspects of the improvement plan; finally, using Flexsim simulation software to verify the feasibility of the scheme. After improvement, the balance rate of vacuum pump V8 product line is increased by 21.96%, the production cycle is shortened by 36.62%, and the value-added ratio is increased by 51.89%. The practical application shows that the use of value stream diagram analysis technology can help to improve the balance rate of production line, shorten the production cycle, and make enterprises achieve lean production.
On-demand 4WD control of electric vehicles based on electric disconnect differential
Authors: Yu Kai , Lu Tongli , Yan Niwei 
Published: May 2022

Abstract
The Electric Disconnect Differential (EDD) is a kind of newly developed mechanism in powertrain proposed to improve the driving range of electric vehicles. The EDD is ingeniously designed to integrate the dog clutch based on the ordinary bevel gear differential. Through the engagement and disengagement process of dog clutch, the torque transmission of electric axle can be decoupled. Therefore, the on-demand 4WD control based on EDD can be realized by controlling the action of the dog clutch. A double-chamfered dog clutch model and a dynamic model of driveline containing EDD are established in this paper. To improve the performance of front-wheel drive vehicles in accelerating and overtaking, an EDD-based on-demand 4WD control strategy of electric vehicles is proposed. Simulation results indicate that the on-demand 4WD control algorithm can achieve clutch engagement within 100ms. More importantly, electric vehicles equipped with EDD on the front and rear drive axles can improve the trafficability and acceleration performance through the on-demand 4WD control strategy.
Research progress on wireless sensor network (WSN) security technology
Authors: Qichen Wang 
Published: May 2022

Abstract
Wireless sensor network (WSN) has been a frontier technology field that integrates a variety of technologies and has a wide range of applications in the military. Network security is of great significance in military warfare. First, this paper outlines the technical advantages of the application of military based on the technical characteristics of WSN. In military applications, WSN has been used in modern military combat while WSN features easy and fast deployment, high concealment, good fault tolerance, high accuracy and other obvious advantages. Moreover, from the perspective of network security, this paper reviews the research progress of network security technology at the network level and data level. The network level includes security protocols, key management, and secure routing technology, and key management includes pre-shared key mode and random key pre-distribution mode. At the data level, error control and fault-tolerant algorithms are mainly included. Automatic retransmission and forward error correction techniques are traditional error control methods, which should be combined with the specific situation of WSN to propose the corresponding fault-tolerant mechanism. Finally, this paper summarizes the practical applications of WSN in the military. From battlefield reconnaissance and target localization monitoring to destruction effect control and anti-terrorism equipment research, network security has been a top priority. Against the background of practical military applications, this paper summarizes the research significance of network security technology.
Experimental study on resonant acoustic damping for cabin noise reduction
Authors: Chunmei Wang , feng Han , Cheng Shen 
Published: May 2022

Abstract
Toward the goal of overcoming the weight-and-space redundancy caused by simple implementations of various noise-reducing structures each with a single function, it is natural one of the effective solutions that combine the forms and performances of different noise-reducing structures subtly. To this end, we ingeniously blend the dynamic absorber and the damping material into one structure, which is denoted as the resonant acoustic damping (RAD). In this letter, we conducted several preliminary experiments on an aircraft cabin model to verify the effectiveness of RAD for vibration suppression and noise reduction on complex engineering structures. The experimental results show that RAD possesses a dual-effect feature, that is, the narrowband vibration absorption like dynamic absorbers and the broadband vibration suppression like damping materials.
Research on seriation design of Dynamic Kill Drilling (DKD) mixer
Authors: Xiaolong Lian , Bin Li , Bo Zhou , Lin Hou , Kunkun Wu 
Published: May 2022

Abstract
Automatic slurry mixing device, one of the core equipment of dynamic kill drilling (DKD) system, is the key to determine whether the drilling fluid system can provide precise density for bottom layer in time and effectively, and also the key equipment to control the operation risk of ultra-deep water drilling in the face of narrow pressure window. Based on the incompressible viscous flow characteristics of non-Newtonian fluid mixed with seawater and combined with the actual drilling fluid field situation of offshore drilling platform, a kind of tubular DKD mixer with dumbbell shaped nozzle as jet element is designed in this paper, which is verified by theoretical calculation and numerical simulation. Finally, “Y type reverse reflux (60°) + 90° cross jet element” was determined as the final structural design scheme. At the same time, the influences of inlet flow rate, length of eddy current section and incident Angle on mixing effect of mixer are studied, and a seriation design scheme of dynamic kill drilling (DKD) mixer is proposed, and a seriation design chart of product is completed.
Accurate Fault Location Technology of Cable Head in Switchgear based on Phase-based CT and Zero-Sequence CT
Authors: Zhang Lihua , Wang Tie , Gu Yadong , Yang Guodong , Wang Chenguang 
Published: May 2022

Abstract
The fault location technology for single-phase grounding fault of line has been mature, but there is little research on cable head in switchgear using this technology. Because the grounding line selection device cannot effectively identify and locate the single-phase grounding fault of the cable head in the switchgear, a cable head fault model is established. The synthetic zero-sequence current signal of three-phase CT and the zero-sequence current signal of zero-sequence CT are decomposed by variational mode decomposition (VMD). The grey correlation degree is then calculated to analyze the similarity of the two signals. Thus, the precise fault location technology of cable head in switchgear based on the measurement of phase CT and zero-sequence CT is proposed, and the correctness and feasibility of the proposed technology are verified by ATP simulation software.
Transformer Fault Diagnosis Method Based on Neural Network and D-S Evidence Theory
Authors: Zhan Zhongqiang , Yang Dingqian , Wang Jian , Hao Jian , Wang Jie , Ge Zhijie 
Published: May 2022

Abstract
The BP neural network is used to calculate the basic fault probability distribution of the dissolved gas in the transformer oil and the core grounding online monitoring data, and the Dempster-Shafer evidence theory is used to fuse the multi-source information of the basic probability of various types of faults to obtain a transformer fault diagnosis model. Transformer samples are used to verify the model, and the support vector machine and convolutional neural network fault diagnosis models are compared, and it is concluded that the proposed method is better in terms of fault diagnosis accuracy and stability.
Robust scheduling of virtual power plant with power-to-gas device
Authors: Tang Zhuofan , Xiang Jiani , Duan Yuwei , Zhang Hongzhi , Wu Yajie , Wang Weidong 
Published: May 2022

Abstract
The uncertainty of renewable energy output is the key factor should be considered in its participation in power market transactions. By combining renewable energy, adjustable load and energy storage devices into virtual power plants to participate in power market transactions, the risk of renewable energy participating in power market alone can be effectively reduced. In addition, as an important means of energy conversion, the power to gas (P2G) device expands the idea for the effective utilization of redundant renewable energy. In this paper, the robust optimization theory is used to analyze the output of renewable energy and the uncertainty of electricity market price. The stochastic model is transformed into a robust model, which reduces the computational burden of virtual power plant participating in the optimal decision-making of power market. The established model is verified by cases, and the influence of P2G device on the decision-making behavior of virtual power plant is analyzed.
Diffraction and spread of the electron beam with transverse emittance ε in standing wave of light
Authors: Zhou Jianhui , Wang Ying , Guo Jie , Yang Cailian , Zhang Xiaoqiang , Xu Peng , Zhou Qinghong , Xu Yanxia , Ying Make , Tsai Cheng-Ying 
Published: May 2022

Abstract
Electron beam propagation in the light standing wave for both high and low intensity has been calculated by Thermal Wave Model (TWM). The electrons are scattered in high light intensity, as described in the Kapitza-Dirac effect. Numerical results show the significance of the transverse beam emittance to the quality of the diffraction pattern. In low light intensity, the electrons cannot be scattered, but we demonstrate that only the phase of the electron beam is shifted. Theoretical results show that the transverse average beam momentum σp
varies while the effective beam σx
size remains. The TWM phase-space distributions of the electron beam are given and show the influence of the transverse emittance ε on the beam spreading in this situation. Our works show the possibility of using lasers to design electron beam phase plates and quantify the transverse coherence of electron beams.
Study on lightning impulse voltage distribution and Transfer Overvoltage of 500kV transformer
Authors: Ren Hongtao , Chen Jianfeng 
Published: May 2022

Abstract
Lightning shock wave acts on transformer, and the electromagnetic field in transformer winding is very complex. Due to the electromagnetic oscillation inside the winding, overvoltage will be produced on the main insulation or longitudinal insulation of the transformer, and the potential gradient at the end of the winding is very large, so that the insulation of the transformer is broken down. Therefore, the impact resistance of insulation should be considered in the insulation design of transformer. The amplitude and distribution of overvoltage in transformer winding will affect the selection of insulation material and insulation structure. At the same time, the analysis of transient overvoltage in transformer winding can also provide a theoretical basis for lightning warning system of power system. In order to understand the distribution of transient overvoltage in transformer winding, this paper analyzes the models of cake winding by computer simulation.
Diagnosis Technology of Substation Abnormal State Based on Cloud Edge Collaboration
Authors: Wang Chen , Wang Xingliang , Chen Xiuqiang , Wang Peng , Li Zhong 
Published: May 2022

Abstract
The substation monitoring system based on cloud edge collaborative computing is an important application field of power Internet of things (IoT) technology, which can effectively improve the data processing capacity of the system. First of all, the problems of computing range, computing power, delay performance, task priority, information transmission and cross are analysed when cloud and edge computing are applied in the abnormal state monitoring of substation. The application functions of the two computing modes in the monitoring system are studied. Secondly, the system of abnormal state detection and the diagnosis process of substation based on cloud edge collaborative computing are designed. Then, the design of abnormal state diagnosis system for a substation in Laver Park of Lianyungang is proposed. Finally, it is verified that the design has the ability to reduce the data transmission and raise the level of fault processing through the abnormal state diagnosis of transformer oil chromatogram in substation.
Coordinated allocation of multi-station fusion substation based on power-gas system
Authors: Ye Fan , Yu Jianbo , Tian Tian , Li Tao , Liu Chao , Tao Anqi , Wang Qianggang 
Published: May 2022

Abstract
In the context of the large-scale construction of ubiquitous power IOT, an optimal planning model is proposed for multi-station fusion substation that takes coordinated electricity-gas allocation into account. First, the existing traditional substation is upgraded and transformed into a multi-station fusion substation. Then the solution method of the nonlinear optimal model is provided. Finally, an electricity-gas interconnection system is used as an example to test the multi-station fusion substation model. The result shows that the proposed model has certain significance in providing more efficient energy and communication services for the substation.
A Smartphone-Based Infrared Thermal Imaging Temperature Sensor for Accurate Temperature Measurement of Pig Groups
Authors: Jiao Fu , Jiao Leizi 
Published: May 2022

Abstract
Uncooled infrared thermography has shown great potential for rapid screening of the body temperature of pigs. However, temperature measurements can produce serious errors due to variations in body surface emissivity caused by skin stains or differences in emissivity between body parts. To address this problem, a rotatable infrared filter is added to the optical path of the smartphone-based uncooled infrared detector in this paper. By adding and removing the filter to obtain infrared radiation in different wavelengths, the altering spectrum temperature measurement equation is constructed to reduce the effect of emissivity differences in the measurement process of temperature. On this basis, we developed a smartphone sensor based on an uncooled infrared thermography temperature measurement system with altering spectrum. The sensor enables fast and accurate measurement of pig temperature in the group, which can provide powerful technical support for the diagnosis of physiological abnormalities and diseases in pigs.
Research on Fault Diagnosis Method of Secondary Equipment in Intelligent Substation
Authors: Kuang Honggang , Yi Pengfei , Luo Yuanbo , Tan Jinlian , Yin Hong , Wei Senzhong , Wang Ruyi 
Published: May 2022

Abstract
With the continuous development of power grid scale, traditional substations are gradually replaced by smart substations. In view of the high safety risks of the current power system secondary equipment maintenance and fault isolation work. A new smart substation network structure method for fault diagnosis of smart substations is proposed for the relay protection measurement circuit, and the fault status of the secondary equipment of the smart substation is analysed. First, the timeliness and reliability of relay protection are considered, and the intelligent substation network structure is established. Then, the polarity fault characteristics are analyzed, and the generalized transformation ratio is used to establish the fault diagnosis model of the secondary equipment in the smart substation. Finally, the effectiveness of the proposed method is verified by PSCAD simulation.
Low voltage series arc fault identification method based on VMD and RVFL neural network
Authors: Lu Shuangqing , Tian Lijun , Wang Zhiqiang , Wu Yong , Zhang Fangheng , Liu Wenyang 
Published: May 2022

Abstract
In low-voltage distribution system, series arc fault is one of the main causes of fire accidents. The series arc current characteristics of load are similar to its normal working current, and the ordinary current protection device cannot detect it effectively. In this paper, an arc recognition method based on variational modal decomposition (VMD) and random vector functional link (RVFL) neural network is proposed. The series arc current data of different loads are collected by the low-voltage series arc experimental platform, and the arc current characteristics are analyzed. Four different intrinsic mode functions (IMF) are obtained by variational modal decomposition, and their fuzzy entropy is calculated respectively to form an eigenvector data set, which is input into RVFL neural network for training and identification. In this paper, approximate entropy (ApEn), sample entropy (SampEn) and fuzzy entropy (FuzzyEn) are extracted as feature vectors for each IMF of VMD, their discrimination for different loads is analyzed, and the recognition accuracy of RVFL neural network compared with SVM and BP neural network algorithm is compared. It is verified that the arc recognition method proposed in this paper has better recognition effect.
Transmission line distance measurement with millimeter wave radar based on improved robust Kalman filter
Authors: Zhang Qing , Ma Lifeng , Ren Jie , Zhang Min , Pan Shuguo 
Published: May 2022

Abstract
In this paper, a millimeter wave radar ranging algorithm based on improved robust Kalman filter is proposed. In order to solve the problems of multi-point return of radar, unstable output and susceptible to environmental influences in the real-time monitoring of transmission line anti-mechanical collision line. Firstly, the effective target distance minimum extraction algorithm based on time domain is used to filter out the outliers. Next, the continuous output data is subjected to robust Kalman filter to realize data smoothing, so as to improve the anti-coarse interference capability of the system. Finally, static and dynamic experiments were conducted to simulate different mobile states of construction vehicles. The experimental results show that accuracy of distance measurement of our algorithm is about ±0.1m, and the ranging error is 2%, which can meet the overall demand for real-time monitoring of transmission line anti-mechanical collision line.
Research and implementation of a highly reliable transient and same source data comparison method based on fault recorder documents
Authors: Ma Huan , Xu Yao , Xu Chanpeng , Zhang Dongxian , Mu Yunlong , Zhang Hao , Han Minchou 
Published: May 2022

Abstract
The existing fault recording analysis system has powerful functions in the analysis of fault characteristic factors such as waveform analysis, vector analysis, and harmonic analysis. However, it uses redundant fault recording data to analyze, compare and locate faults in the power system. Rarely involved, far from reaching the level it should be, and even wasting fault recording data with large amounts of data and rich information content. A highly reliable transient homology data comparison based on recording files is given. Analytical method. Introduced the comparison method of the recording data from the same source, the content involves how to match the channel waveform of fault recorder documents, how to use the zero-crossing algorithm to align, how to find the starting point of the protection action through the mutation amount algorithm, and how to pass the cubic spline The interpolation algorithm obtains valid data, how to compare the valid data, and finally obtain the comparison result, and give advice on operation and maintenance.
Effect of a high-voltage pulsed magnetic field on microstructure, mechanical properties and corrosion behavior of as-cast biodegradable Zn-Al alloy
Authors: Yang Lin , Li Lei , Cao Fanglin , Sun Ke , Cui Jianzhong 
Published: May 2022

Abstract
Zn alloys as the body’s temporary implants, it have recently aroused widespread attention by researchers in recent years. In order to meet the requirement of biomedical application, biodegradable Zn alloys should possess certain mechanical properties. To this end, it is generally required that the grain structure can be uniform and refined. In this work, a high-voltage pulsed magnetic field (PMF) was employed to homogenize and refine the as-cast biodegradable Zn-Al binary alloy. The results showed that a 6 kV PMF changes the coarse columnar Zn dendrites (739±90.9 urn) to fine spherical grains (187±16.1 urn). Accompanying the microstructural change, the compression yield strength, ultimate compression strength, tensile yield strength, ultimate tensile strength and elongation of the alloy are increased by 48.9%, >11.7%, 15.1%, 29.8% and 128%, respectively. Both the electrochemical and immersion tests show that PMF accelerates the corrosion rates of the Zn-Al alloy.