bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-oscillation in agricultural mobile machine units
Authors: Partko S A , Sirotenko A N 
Published: May 2020

Abstract
The article presents research on improving the dynamic properties of mobile equipment due to the optimal choice of mass-geometric and elastic-dissipative parameters of the running system. In the study of the sensitivity of systems to synchronization and the capture of these oscillations, a frequency analysis of the oscillations of the output shafts of the propulsion machines and executive units under various operating conditions was carried out. It has been established that under certain operating conditions, the coincidence of these oscillations frequencies is possible, which is the main reason for the appearance of the main dynamic loads. Measures to reduce these loads have been proposed.
Implementation of optimality criteria in the design of communication networks
Authors: Melnikov B F , Meshchanin V Y , Terentyeva Y Y 
Published: May 2020

Abstract
We consider two frequently encountered problems in the modeling of the communication network, related to the construction of a graph of the communication network that meets certain conditions. Heuristic algorithms for solving these problems are proposed. The question of uniqueness of the solution of the set tasks is investigated. A positive result of solving the problem was obtained and sufficient conditions of uniqueness were found. The research and development of appropriate software are of practical importance in the design of real communication networks.
Analysis of indicators of the working process of diesel engine when operating on methanol
Authors: Chuvashev A N , Chuprakov A I 
Published: May 2020

AbstractLimited reserves of fuel of oil origin and a significant increase in the price of oil and its products have made the work aimed at finding and justifying the use of alternative fuels relevant. Among the latter, methanol occupies an important place, for the production of which raw materials are available on a large scale. Methanol can be obtained from natural gas, coal, biomass, or urban waste. Methanol can be attributed to renewable energy sources. It should be noted that the development of a fundamentally new engine model that meets modern environmental and economic requirements requires long-term research and high material costs, so our research is aimed at upgrading commercially available engines. The article presents the results of implementing a method for using methanol by feeding it directly into the combustion chamber and igniting it from the igniting part of diesel fuel. The economic indicators of the developed diesel engine when running on methanol at maximum torque are analyzed.
Possible expanding of the metrology object on the example of industrial enterprises management assessment
Authors: Ogloblin VA , Malanina Yu N , Vikhoreva M V 
Published: May 2020

Abstract
Metrology has given the necessary driving force to the second industrial revolution. However, the widespread use of business solutions based on information technologies allows to talk about reducing mass production in favor of individual production. Accordingly, the consequences for metrology are the need to expand the object. The definition and subject of metrology do not contradict this transformation. The axioms of fundamental metrology can be slightly changed on the example of the assessment of industrial enterprises management for the possibility of expanding the metrology object.
Correction of form errors during centerless grinding of balls
Authors: Reshetnikova O P , Iznairov B M , Vasin A N , Belousova N V , Panfilova A V 
Published: May 2020

Abstract
This article describes the problem of ensuring effective correction of errors in the form of the spherical surface of the ball during its centerless grinding. The process of embedding ball roughness in the surface of the driving wheel is nonlinear due to the complex form of the roughness and abrasive grains. The mechanism of interaction of the ball with the driving wheel as a process of contacting elastic bodies is analyzed. The value of embedding the abrasive grain size of the driving wheel into the workpiece surface is mathematically determined. It is shown that an increase in the grain of the driving wheel leads to correction of the ball form error during its centerless grinding. At the same time, with increasing wheel abrasive grain, the number of grains per unit surface area of the driving wheel decreases. Based on this, it is concluded that the influence of the characteristic of the driving wheel on the process of correcting errors in the form of the sphere is prevailing.
System for measurement and control of drill string vibration
Authors: Bashmur K A , Petrovsky E A , Bogachev V V , Kukartsev V V , Tynchenko V S 
Published: May 2020

Abstract
The article discusses issues of ensuring effective and reliable measurement and control of drill string vibration. A system for active measurement and control of drill string vibration is presented. The system combines both wellhead equipment elements and downhole equipment. At that, there is a specially designed hydromechanical extensional vibration sensor used in wells. The wellhead equipment includes elements of record and analysis of obtained data about drill string vibration. Moreover, the system includes wellhead equipment for stopping vibration. The article analyses optimal parameters for the shape of the hydromechanical vibration sensor. Its optimal shape is established.
Pulse safety device with adaptive controller for technical systems with high reliability requirements
Authors: Terasmes K S , Petrovsky E A , Bashmur K A , Tynchenko V S , Kukartsev V V 
Published: May 2020

Abstract
To ensure the protection of technical systems against excessive pressure, pulse-safety devices (pilot-operated relief values, or PORV) are used, which differ from spring-loaded safety valves in their increased throughput and high accuracy of operation at set pressures. At the same time, PORVs are less reliable due to the complexity of the design. Their reliability depends on the operability of two valves - pulse and main ones. The pulse valve that controls the entire safety system is still the weakest PORV element. This is especially true for systems that have high safety and reliability requirements, for example, for aerospace technology and the nuclear industry, because the resource of sensitive elements decreases sharply when working in extreme operating conditions. The article proposes a PORV design with redundancy of the valve sensing element by a system in the form of a metal bellows and a slide valve. The reliability values of the standard and proposed PORV designs are analyzed.
Stability study of magnetoelastic damper of high-speed machines
Authors: Kozhukhov E A , Petrovsky E A , Kolenchukov O A , Bashmur K A , Tynchenko V S 
Published: May 2020

Abstract
The article describes a new device for magnetoelastic damper of high-speed machines. The operation of the device is based on the strength of magnetic levitation and magnetoelastic interaction of the opposite parts. The stability of the damper by the Lyapunov criterion is analyzed. When using the known criterion, particular criteria for the stability of the device were added. Due to the poor convergence of numerical calculations, analytical research methods for specific individual expressions were used. Achieving the goal is solved using the analytical mathematical apparatus.
Identification of object on an emitted signal based on matrixes of a bispectrum and indicator characteristics of Fourier spectrum
Authors: Krupchatnikov R A , Artemenko M V , Kalugina N M 
Published: May 2020

Abstract
The article considers the urgent problem of identifying the state of an object in order to improve the quality of management. To identify the state of the object, a new method is proposed for analyzing the characteristics of the spectral power of a signal recorded during monitoring, which is characterized by the application of convergent decision production rules of a classification type. It is proposed to carry out convergence based on the analysis of the bispectrum of the acoustic signal emitted by the object and the correlation matrix of the characteristics of the amplitude spectral function. The first approach allows to investigate autocorrelation functions of a signal. The second approach allows to study structure of the organization of a signal. The following are considered: the mathematical apparatus and algorithms for determining specific correlation matrices and the methodology of the decision rules system. Results of synthesis of convergent decisive rules for diagnostics of statuses of an organism at standard forms of bronchitis are given. It is noted that the convergence of decision rules allows to increase the accuracy of identification of the state of the observed object by an average of 5-6% compared to private decision rules and by 10% compared with the classification by an expert person. A distinctive feature is the analysis of not only spectral characteristics, but also the functional relationship between them, which allows us to identify new properties and take into account the states that characterize the change in the functioning of the internal control system as a reaction to external influence as a whole. The obtained research results can be used in the construction of smart expert systems that are part of facility management systems whose state is characterized by emitted acoustic signals.
Commissioning and Start-up / Shut-down of the ethanol production plant
Authors: Bamatov Ibragim M , Bamatov Dzhabrail M 
Published: May 2020

Abstract
This paper work demonstrates the commissioning and start - up/shut - down processes of the ethanol production plant with reagents 88 % IPA (isopropylalcohol) and 12 % water. Moreover, this research paper gives schematically illustrates the fabrication of methanol production over 100 ton per annual. Besides, the most important aspects of commissioning, pre-commissioning categories and activities are indicated within this research work.
Selection the optimal value of the smoothed variable during the PVD coating thickness calculation
Authors: Oleinik A V 
Published: May 2020

Abstract
The operating experience of axial single-wheels indicates the need to protect the blades from erosion damage. This can be achieved by applying a protective coating. We have proposed a method for processing bladed disk by biaxial rotation in a vacuum volume. The selection of the trajectory is supposed to be carried out using numerical simulation methods. An important parameter in this case is the smoothed variable to eliminate noise from the coating thickness. The article presents the selection of this parameter based on an experiment with samples of various forms with a protective coating of the (Ti-V)N system.
Application of a microspectral analysis for evaluation of the morphofunctional status of immunocompetent cells in cattle with retroviral diseases
Authors: Artemev D A , Krasnikov A V , Krasnikova E S , Kalganov S A , Markova E A 
Published: May 2020

AbstractMicrospectral analysis is a highly informative way to study the morphofunctional status of cells, including immunocompetent ones. Purpose of the study was an application it for studding of lymphocytes in cattle with enzootic leukemia and viral immunodeficiency. It is important for diagnostics and differential diagnostics of diseases, as well as for analyzing of animal homeostasis and making a prognosis of the disease. Spectral analysis of stained with a Leukodif 200 kit agranulocytes was carried out using the universal color analyzer microscope-spectrophotometer LOMO MSFU-K. The value of the light absorption intensity was measured in the spectrum from 300 to 700 nm. The results of microspectral analysis showed that for cows’ lymphocytes with combined pathology (BLV/BIV), the absorption values in the spectrum of Eosin U and Azure II were 351.2 ± 17.6 and 751.4 ± 37.6 counts, respectively. For animals withBLVandBIVmono-infection, these indicators were 253.3 ± 12.7; 383.3 ± 19.2 and 371.5 ± 18.5; 500.2 ± 24.9 counts. While in intact cows, these indicators were registered at the level of 210.3 ± 10.5 and 173.6 ± 8.6 counts. In intact animals, the acidic and basic components ratio in the cell was uniformly proportional, the ratio coefficient was 0.83 ± 0.04. ForBIV,BLVandBLV/BIV-infected animals, this coefficient was 1.34 ± 0.06, 1.51 ± 0.08 and 2.13 ± 0.11, that was in 1.6, 1.8 and 2.6 times higher than in intact animals, which might be an indicator of metabolic acidosis in the cell.
Building a model for recognition of morphostructure pathologies in animal tissues
Authors: Kostarev S N , Sereda T G , Tatarnikova N A 
Published: May 2020

Abstract
Microscopic images of histological analysis have a complex flat structure. The result of the analysis and interpretation of the diagnosis strongly depends on the qualification of the veterinarian; therefore, the development of methods and models for automated histological diagnosis of diseases is an urgent task. The article considers the known approaches for building expert systems of histological diagnostics. Expert systems of histological analysis can be used in clinical veterinary medicine for advanced training of veterinary pathologists. The possibility of using the theory of finite automata for construction of the device - histological analyzer is shown. As an example of histological analysis the task of recognition of images of morphofunctional changes in rodent tissues on the example of the soft brain of a rat damaged by chlamydia infection is considered. Pathological indicators of morphostructural changes in tissues in case of chlamydia infection have been revealed and explained: erythrocyte slide with clot formation, nucleihyperchrome, tissue edema, hemorrhage and desquamation of endotheliocytes. For image recognition it is suggested to use computer neural network technologies based on multilayer perceptron. The number of synoptic scales for perceptron design has been calculated. Examples are given and construction of training sets on the basis of which the table of truth for neural network training constructed is shown. Computer experiments have shown the possibility of using neural network technologies for recognition of pathology indicators during histological analysis of morphostructural changes in animal tissues.
Development of Levenberg-Marquardt theoretical approach for electric networks
Authors: Mikhaylov A , Tarakanov S 
Published: May 2020

Abstract
The algorithm for artificial neural networks is presented for the optimal distribution of tasks in electric networks in an automatic mode without operator participation. The article presents the artificial neural networks algorithm based on Levenberg-Marquardt approach that implements the specified task, as well as substantiation of its characteristics. It is proposed to use the technology of artificial neural networks (ANN), which on the basis of the developed multi-criteria evaluation electricity system of ARES allows ranking. The ANN architecture with Levenberg-Marquardt algorithm of weights optimization and their efficiency is estimated. As indicators of efficiency, the F-measure and the percentage of correctly made decisions (accuracy) were chosen for optimal network parameters. The obtained ANN was successfully tested.
Features of translucent materials and products defects detection with support of optical system
Authors: Bulatov V V , Kul’chitskii A A 
Published: May 2020

Abstract
The translucent materials and products defects detection by optical methods are published in the article. The methods are described on quality assessment of sheet glass. There is an application approach based on complex feature. The recognition algorithm is based on three main feature types of defect: brightness, color (primary features) and geometrical or features of shape (secondary). In the document main (algorithmic) and technical sides of creation of machine vision system are described.
Neural network model of machine parts classification by optical scanning results
Authors: Pechenin V A , Bolotov M A , Yu Pechenina E 
Published: May 2020

Abstract
The article considers the solution to an automation problem for assembly processes associated with determining a type of the part delivered for assembling. The parts delivered for assembling are preliminarily measured with an optical scanner. In order to solve the problem for determining the part type, convolution neural network organization was matched with the data classification. Stl-patterns for three turbine rotor parts were taken, the training and test samples were simulated, several convolution neural networks were trained and the optimal parameters ensuring 100% classification accuracy were selected.
Apparatus for controlling the amount of undissolved gas in the hydraulic fluid
Authors: Lunev A S , Nikitin A A , Ionova V A , Novik A V , Kramarenko V A 
Published: May 2020

Abstract
This paper considers an ultrasonic method for controlling the amount of undissolved gas in hydraulic systems for any size of gas bubbles and a varying size-consist. Also, the main reasons for the appearance of undissolved gas in the hydraulic fluid take into account. The paper is of great importance because known methods for measuring the amount of undissolved gas require complex testing benches consisting of a large number of elements. The proposed apparatus will simplify the control of the amount of undissolved gas in the hydraulic fluid used in the hydraulic drive while maintaining the accuracy of the measurement.
Ultrasonic method and other methods of control of undissolved gas in the working fluid
Authors: Lunev A S , Nikitin A A , Afanasov V I , Novik A V , Kramarenko V A 
Published: May 2020

Abstract
The power oil of the hydraulic drive plays a key role, being both an energy carrier and a lubricant. Variable pressures, speeds and temperatures effect on it. The gas presence in the hydraulic system negatively affects the operational characteristics, bearing capacity and dynamics of the system. The ultrasonic technique of the control of undissolved gas in power oils plays a significant part.
Determination of composition of galvanic composites by microhardness method
Authors: Kisel Yu E , Kamynin V V , Guryanov G V , Bezik D A , Bezik V A , Markaryants L M 
Published: May 2020

Abstract
Based on composite electrochemical coatings effect of content by volume of hard dispersed phase on coefficient of variation of microhardness has been considered. Besides model equation of relationship between content by volume of dispersed phase and coefficient of variation of microhardness has been worked out. The relation between the coefficient of variation of microhardness and volume content of a dispersed phase in a galvanic composite is established.
«Digital Twin» technology in medical information systems
Authors: Bezborodova O E , Bodin O N , Gerasimov A I , Kramm M N , Rahmatullov R F , Ubiennykh A G 
Published: May 2020

Abstract
Given the high mortality rate from cardiovascular diseases and the need to transfer medicine to a more high-tech level of development, the authors propose the use of digital twin technology for the diagnosis and treatment of heart diseases. As a digital twin of the human heart, it is proposed to use the combination of an equivalent electric heart generator and the of D. Noble computer heart model within the subsystem for supporting medical decision-making. The use of such digital twin will make it possible to reliably conduct non-invasive cardiodiagnosis to select drugs within the treatment regimen.
Analysis of regulatory documentation for thickness of coatings of materials and products
Authors: Sekatsky V S , Gavrilova O A , Merzlikina N V , Pikalov Yu A , Kaposhko I A 
Published: May 2020

Abstract
It is shown that normalizing the thickness of coatings in the design of products and finding the actual value of the thickness of the coating layer with a given accuracy in manufacturing is a pressing task. An analysis of the regulatory documentation was carried out, which showed that there are recommendations for normalizing the thickness of the coating to select only the minimum thickness of the coating. The maximum thickness of the coatings is not regulated, which leads to unnecessary over expenditure of the coating material, energy and other costs and does not allow selecting the means of measuring the thickness of the coatings depending on accuracy.
Selection of effective criteria for determining the volume of measurements
Authors: Barbashov N N , Abdullina L R 
Published: May 2020

Abstract
The cost of carrying out control measures increases significantly if they are not effectively controlled, in particular when the consumer gets low-quality products. The increase in cost is due to the completion of products or return of marriage. Therefore, the main task of this article is to develop effective control methods that can provide both a certain output level of quality and its improvement. Active control devices are often used to create an effective control system for the accuracy of part processing. They work using different algorithms. Recently, active control is increasingly used to control the current value. Based on the measurement results of each processed part, an adjustment equal in magnitude to the resulting deviation is entered. Similar control methods are used in the ISO 8258-91 standards. Modern software allows you to effectively manage the processing process, so the choice of a rational control algorithm plays an important role.
The formation of control actions in the automatic climate control system in the production of electronics based on the inclusion of a fuzzy controller in the recurrence algorithm
Authors: Aleshkin N A , Aleshkin A P , Petrushevskaya A A 
Published: May 2020

Abstract
To meet the ever-growing requirements for the production of electronic components, production facilities should be improved along the way to achieve the required level of internal climatic parameters of the environment: temperature, humidity, and the degree of air purification from dust. Of particular difficulty is the need to simultaneously control the specified vector of parameters. Promising climate dynamic systems should be focused on intelligent technologies for the formation of control actions. The lack of the possibility of an exact mathematical description of control processes adequate to the nature of disturbing influences motivates researchers to search for mechanisms to parry the noted disturbances. The article proposes to use the fuzzy regulation apparatus for these purposes, which allows one to take into account information presented in verbal form. A model of a climatic dynamic system and the results of modeling based on it are presented.
Nonlinear SVD – filtration in hemodynamic parameters evaluation hydrocuff systems
Authors: Gerashchenko M S , Markuleva M V , Gerashchenko S I , Semenov A D , Mitroshin A N 
Published: May 2020

Abstract
The article illustrates the prospects of using the hydrocuff technology of oscillations formation for evaluating hemodynamic parameters. An approach to improving the parameters accuracy estimation by increasing the oscillations amplitude and subsequent nonlinear SVD – filtering of the obtained blood pressure compression waveform based on singular spectral analysis is presented.