Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208153
E. Sosnina, A. Shalukho, N. Erdili
The article is devoted to the control of distribution electrical networks (DEN) with stochastic generation which operate as the Internet of Energy (IoE). The concept of the energy Internet is considered. The analysis of approaches to DEN control is carried out. It is established that the most promising are decentralized and distributed control systems. The basis for developing the intelligent control system (ICS) of DEN with stochastic generation is an approach based on a distributed multi-agent control system (MACS). The main advantages of MACS are openness and scalability. A block diagram of a DEN operating on the IoE principle is presented. The set of agents has been developed for DEN ICS. For each agent, the functions performed have been described and General rules to coordinate actions with other agents have been developed.
{"title":"Intelligent Control System for Distribution Electrical Network with Stochastic Generation","authors":"E. Sosnina, A. Shalukho, N. Erdili","doi":"10.1109/RusAutoCon49822.2020.9208153","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208153","url":null,"abstract":"The article is devoted to the control of distribution electrical networks (DEN) with stochastic generation which operate as the Internet of Energy (IoE). The concept of the energy Internet is considered. The analysis of approaches to DEN control is carried out. It is established that the most promising are decentralized and distributed control systems. The basis for developing the intelligent control system (ICS) of DEN with stochastic generation is an approach based on a distributed multi-agent control system (MACS). The main advantages of MACS are openness and scalability. A block diagram of a DEN operating on the IoE principle is presented. The set of agents has been developed for DEN ICS. For each agent, the functions performed have been described and General rules to coordinate actions with other agents have been developed.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126337627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208224
V. Domanov, S. Gavrilova, I. A. Meshchaninov
A model of a slip electric drive based on interconnected systems has been compiled and investigated. A diagram and description of the work of a slip complex, representing a complex system of multiple simultaneously operating electric drives are presented. The model of the electric drive slipway system, operating in the passive mode of speed agreement, when passive electrical elements are used in electrical chain. Equations are obtained that allow one to determine the error values of an interconnected system depending on the number of electric drives used. The study of the model of slip electric drives based on the proposed interconnected systems allows to reduce the mismatch errors. It is shown that the value of errors decreases with an increase in the number of electric drives in the interconnected system.
{"title":"Analysis Work Electric Drive Slipway with Passive Control","authors":"V. Domanov, S. Gavrilova, I. A. Meshchaninov","doi":"10.1109/RusAutoCon49822.2020.9208224","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208224","url":null,"abstract":"A model of a slip electric drive based on interconnected systems has been compiled and investigated. A diagram and description of the work of a slip complex, representing a complex system of multiple simultaneously operating electric drives are presented. The model of the electric drive slipway system, operating in the passive mode of speed agreement, when passive electrical elements are used in electrical chain. Equations are obtained that allow one to determine the error values of an interconnected system depending on the number of electric drives used. The study of the model of slip electric drives based on the proposed interconnected systems allows to reduce the mismatch errors. It is shown that the value of errors decreases with an increase in the number of electric drives in the interconnected system.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130535053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208156
S. Efimov, S. Knyazev, S. Jatsun
This paper contains the description and results of modeling a miniature autonomous underwater robot (MUUV) with an intelligent control system for monitoring reservoirs. The article shows a structural diagram of a prototype robot equipped with a number of sensors. Human-machine interaction described in combined mode when the operator monitors and controls the underwater robot periodically at certain times, while the robot carries out the movements set by the operator, but otherwise the operator does not control the position. Diagrams of the robot's movement when monitoring reservoirs are shown and optimal control algorithms are synthesized. A method for monitoring reservoirs using a mobile underwater robot has been formalized.
{"title":"Simulation of the Automated Control System for Monitoring Ponds with the Aid of a Miniature Unmanned Underwater Vehicle","authors":"S. Efimov, S. Knyazev, S. Jatsun","doi":"10.1109/RusAutoCon49822.2020.9208156","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208156","url":null,"abstract":"This paper contains the description and results of modeling a miniature autonomous underwater robot (MUUV) with an intelligent control system for monitoring reservoirs. The article shows a structural diagram of a prototype robot equipped with a number of sensors. Human-machine interaction described in combined mode when the operator monitors and controls the underwater robot periodically at certain times, while the robot carries out the movements set by the operator, but otherwise the operator does not control the position. Diagrams of the robot's movement when monitoring reservoirs are shown and optimal control algorithms are synthesized. A method for monitoring reservoirs using a mobile underwater robot has been formalized.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122832260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208152
I. Khanykov
This paper considers operations on pixel clusters, image segments; methods of intermediate quality improvement of a given partition and algorithm for generating a hierarchical sequence of piecewise-constant partitions of the original image. The algorithm utilizes total squared error E or standard deviation σ to assess the partition quality. The basis of software-algorithmic toolkit are four operations on pixel clusters and image segments: "merge"–merging the pair of clusters into one, "divide"–dividing cluster into two source ones, "split"–selecting a subset of pixels into a separate cluster and "correct"–reclassifying parts of pixels by excluding them from one cluster and assigning them to another. A coarse hierarchy of clusters (segments) is constructed using the "merge" and "divide" operations. The pair of "split" and "correct" operations modifies an existing hierarchy. The combination of "merge" and "divide" operations forms SI-method for quality improvement of the image partition. SI-method executes as long as there is a triple of segments, the separation of one of which and combination of two other is accompanied by decrease of standard deviation. The "correct" operation generates K-meanless method – the extension of K-means method. K-meanless method redistributes groups of pixels from cluster to cluster until this process reduces the overall value of standard deviation. Aerospace Earth images, including full-dimension, from SIPI USC open international database were used to test run the proposed quasi-optimal clustering algorithm in segmentation and clustering modes. It has been established that clustering in comparison with segmentation gives significantly more accurate results, both in visual perception and in the standard deviation value.
{"title":"Operations, Methods and Algorithm for Quasi-Optimal Clustering in the Problem of Preprocessing of Aerospace Earth Images","authors":"I. Khanykov","doi":"10.1109/RusAutoCon49822.2020.9208152","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208152","url":null,"abstract":"This paper considers operations on pixel clusters, image segments; methods of intermediate quality improvement of a given partition and algorithm for generating a hierarchical sequence of piecewise-constant partitions of the original image. The algorithm utilizes total squared error E or standard deviation σ to assess the partition quality. The basis of software-algorithmic toolkit are four operations on pixel clusters and image segments: \"merge\"–merging the pair of clusters into one, \"divide\"–dividing cluster into two source ones, \"split\"–selecting a subset of pixels into a separate cluster and \"correct\"–reclassifying parts of pixels by excluding them from one cluster and assigning them to another. A coarse hierarchy of clusters (segments) is constructed using the \"merge\" and \"divide\" operations. The pair of \"split\" and \"correct\" operations modifies an existing hierarchy. The combination of \"merge\" and \"divide\" operations forms SI-method for quality improvement of the image partition. SI-method executes as long as there is a triple of segments, the separation of one of which and combination of two other is accompanied by decrease of standard deviation. The \"correct\" operation generates K-meanless method – the extension of K-means method. K-meanless method redistributes groups of pixels from cluster to cluster until this process reduces the overall value of standard deviation. Aerospace Earth images, including full-dimension, from SIPI USC open international database were used to test run the proposed quasi-optimal clustering algorithm in segmentation and clustering modes. It has been established that clustering in comparison with segmentation gives significantly more accurate results, both in visual perception and in the standard deviation value.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126460127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208045
V. Mitroshin, V. Denisov
This paper presents the new approach and methodology for controlling the insulation application in the manufacture of high-frequency communication cables of high regularity. They ensure the achievement of the required characteristics of products. The main tasks are formulated and solved during the automation of the technological process of applying insulation on the extrusion lines. Digital systems have been developed for stabilizing the pressure in the extruder forming tool and stabilizing the temperature of the polymer melt in the extruder dosing zone. Their high efficiency was proved with the help of analysis of stabilization systems for the operational parameters of technological equipment carried out using computer simulation.
{"title":"Automated Control of the Process of Insulating the Cores of Radio-Frequency Cables with Guaranteed Ensuring the Operational Characteristics of the Products","authors":"V. Mitroshin, V. Denisov","doi":"10.1109/RusAutoCon49822.2020.9208045","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208045","url":null,"abstract":"This paper presents the new approach and methodology for controlling the insulation application in the manufacture of high-frequency communication cables of high regularity. They ensure the achievement of the required characteristics of products. The main tasks are formulated and solved during the automation of the technological process of applying insulation on the extrusion lines. Digital systems have been developed for stabilizing the pressure in the extruder forming tool and stabilizing the temperature of the polymer melt in the extruder dosing zone. Their high efficiency was proved with the help of analysis of stabilization systems for the operational parameters of technological equipment carried out using computer simulation.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124314702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208136
Y. Petrov, Yu. V. Sakhanskiy, S. P. Maskov
The most effective resonant mode of industrial explosives ignition by high frequency current was examined. Specifications of electric firing circuit at resonance occurrence in general and special cases were analyzed and defined. Conditions of self-compensation of electric firing circuit reactive parameters were defined. T-circuit equivalent of real electrical firing circuit was developed. Current impulse at resonance was defined. Grapho-analytical method to define refusals or electric detonator operation in the circuit depending on received current impulse was developed. By theory and by experiment were defined reactive elements values, brought into the electric firing circuit in order to achieve resonant mode, also electrical firing circuit general operation mode and in case of resonance and reliability conditions were analyzed. Recommendations for increasing of blasting devices efficiency at electric circuit ignition was provided.
{"title":"Electrical Firing System Optimization at High Frequency Ignition for Industrial Explosives","authors":"Y. Petrov, Yu. V. Sakhanskiy, S. P. Maskov","doi":"10.1109/RusAutoCon49822.2020.9208136","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208136","url":null,"abstract":"The most effective resonant mode of industrial explosives ignition by high frequency current was examined. Specifications of electric firing circuit at resonance occurrence in general and special cases were analyzed and defined. Conditions of self-compensation of electric firing circuit reactive parameters were defined. T-circuit equivalent of real electrical firing circuit was developed. Current impulse at resonance was defined. Grapho-analytical method to define refusals or electric detonator operation in the circuit depending on received current impulse was developed. By theory and by experiment were defined reactive elements values, brought into the electric firing circuit in order to achieve resonant mode, also electrical firing circuit general operation mode and in case of resonance and reliability conditions were analyzed. Recommendations for increasing of blasting devices efficiency at electric circuit ignition was provided.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127839696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208127
A. Andriyanov
The paper covers the issues of improvement of control systems for single-phase power factor correctors which appear to be nonlinear dynamic systems prone to undesired fluctuations in the circuit currents and voltages. The structure of a single-phase power factor correctors control system, providing the desired dynamic operation mode in a wide range of variation of the control system parameters, is proposed. A study of nonlinear dynamics of a single-phase power factor corrector has been carried out and the domains of existence of undesired operation modes have been identified. It is shown that the introduction of nonlinear dynamics control makes it possible to eliminate these domains and ensure operation of the system in the desired dynamic mode, which provides high quality of the output voltage and power consumed from the mains supply. The proposed structure of the control system and the algorithm of its operation can be applied to the design of digital control systems for single-phase power factor correctors.
{"title":"Nonlinear Dynamics Control of Single-phase Power Factor Correctors","authors":"A. Andriyanov","doi":"10.1109/RusAutoCon49822.2020.9208127","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208127","url":null,"abstract":"The paper covers the issues of improvement of control systems for single-phase power factor correctors which appear to be nonlinear dynamic systems prone to undesired fluctuations in the circuit currents and voltages. The structure of a single-phase power factor correctors control system, providing the desired dynamic operation mode in a wide range of variation of the control system parameters, is proposed. A study of nonlinear dynamics of a single-phase power factor corrector has been carried out and the domains of existence of undesired operation modes have been identified. It is shown that the introduction of nonlinear dynamics control makes it possible to eliminate these domains and ensure operation of the system in the desired dynamic mode, which provides high quality of the output voltage and power consumed from the mains supply. The proposed structure of the control system and the algorithm of its operation can be applied to the design of digital control systems for single-phase power factor correctors.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127181989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208170
D. Topolsky, I. Topolskaya, Y.G. Plaksina
This article proposes a new approach to software and hardware implementation of an automatic system for diagnosing the condition of an intelligent electric drive based on the normal behavior method. Diagnostic technology is based on taking into account deviations between a given and calculated mechanical torque in the structure of an intelligent electrical drive. Software analysis of these deviations in the control system allows you to diagnose undesirable phenomena in an electrical machine and drive equipment. The main technological parameters for calculating the mechanical torque are currents, voltages and speed. In addition, the design parameters of an intelligent electric drive are taken into account. According to the results of the study, a prototype of a system for diagnosing an intelligent electrical drive in real time was developed. The software implementation of the prototype diagnostic system is based on a universal dispatch and data collection system. This approach to the software implementation of the diagnostic system can significantly reduce its cost and expand the functionality of existing automatic control systems. The results of tuning and testing the diagnostic system are presented. The response of the control system to the deviation of the mechanical torque from the given torque of normal behavior is simulated.
{"title":"Real-time Diagnostics of an Intelligent Electrical Drive","authors":"D. Topolsky, I. Topolskaya, Y.G. Plaksina","doi":"10.1109/RusAutoCon49822.2020.9208170","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208170","url":null,"abstract":"This article proposes a new approach to software and hardware implementation of an automatic system for diagnosing the condition of an intelligent electric drive based on the normal behavior method. Diagnostic technology is based on taking into account deviations between a given and calculated mechanical torque in the structure of an intelligent electrical drive. Software analysis of these deviations in the control system allows you to diagnose undesirable phenomena in an electrical machine and drive equipment. The main technological parameters for calculating the mechanical torque are currents, voltages and speed. In addition, the design parameters of an intelligent electric drive are taken into account. According to the results of the study, a prototype of a system for diagnosing an intelligent electrical drive in real time was developed. The software implementation of the prototype diagnostic system is based on a universal dispatch and data collection system. This approach to the software implementation of the diagnostic system can significantly reduce its cost and expand the functionality of existing automatic control systems. The results of tuning and testing the diagnostic system are presented. The response of the control system to the deviation of the mechanical torque from the given torque of normal behavior is simulated.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117281489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208118
Yu. N. Kazakov, A. Kornaev, R. Polyakov
The article discusses the prerequisites for the use of artificial neural networks with direct connection for diagnosing the state of rotary machines with liquid friction bearings. During the study, an experimental setup with a multi-sensor measuring system was developed. The measuring system is based on sensors that measure different types of data. An experiment was conducted in which various types of failures were modeled. Data was processed to provide their network. Various ways of presenting data were used. The effect of various types of measurements on the accuracy of networks was investigated. The principles of preparing data sets are presented. A study was conducted of the influence of the volume of the training sample on the accuracy of the artificial neural network. The possibilities of using multisensory measurements of various nature for the diagnosis of rotary machines are shown.
{"title":"Rotary Machines Diagnosis Systems Based on Feed Forward Neural Networks","authors":"Yu. N. Kazakov, A. Kornaev, R. Polyakov","doi":"10.1109/RusAutoCon49822.2020.9208118","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208118","url":null,"abstract":"The article discusses the prerequisites for the use of artificial neural networks with direct connection for diagnosing the state of rotary machines with liquid friction bearings. During the study, an experimental setup with a multi-sensor measuring system was developed. The measuring system is based on sensors that measure different types of data. An experiment was conducted in which various types of failures were modeled. Data was processed to provide their network. Various ways of presenting data were used. The effect of various types of measurements on the accuracy of networks was investigated. The principles of preparing data sets are presented. A study was conducted of the influence of the volume of the training sample on the accuracy of the artificial neural network. The possibilities of using multisensory measurements of various nature for the diagnosis of rotary machines are shown.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131668955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208055
S. Kurilin, V. Denisov, M. Dli
A complex solution to the problem of reliability of electrical equipment implies formulating and solving a number of scientific problems. In the scientific support of the efficient operation of asynchronous electric motors (AEM) there are two generalized scientific problems. Developments in the field of the strategies and criteria of efficient operation, termed Problem 1, are based on statistical information and mathematical simulation of operation states. Research in the field of the implementation of the adopted operation strategy, referred to as Problem 2, must be based on the latest information on the current health of each AEM and the risk of its further operation. The paper reflects the results of developing methods and means for simulating the AEM operation states for Problem 1. In the general case, An AEM is an inhomogeneous electromechanical system, whose inhomogeneity manifests itself during service aging. The paper states that the methods and means being developed for the simulation of AEM operation states must represent the current health of the object with due regard for its service aging. The tool of Kolmogorov equations used for the simulation enables one to represent a current health of the object. An example of practical simulation is given. The probability of AEM failure should be treated as the relative value of the maximum element of the current deviation matrix. For systems with service aging, the state probability bounds must be associated with the attainment of the limit state by the object and its removal from service.
{"title":"Simulating the Operation States of Inhomogeneous Electromechanical Systems","authors":"S. Kurilin, V. Denisov, M. Dli","doi":"10.1109/RusAutoCon49822.2020.9208055","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208055","url":null,"abstract":"A complex solution to the problem of reliability of electrical equipment implies formulating and solving a number of scientific problems. In the scientific support of the efficient operation of asynchronous electric motors (AEM) there are two generalized scientific problems. Developments in the field of the strategies and criteria of efficient operation, termed Problem 1, are based on statistical information and mathematical simulation of operation states. Research in the field of the implementation of the adopted operation strategy, referred to as Problem 2, must be based on the latest information on the current health of each AEM and the risk of its further operation. The paper reflects the results of developing methods and means for simulating the AEM operation states for Problem 1. In the general case, An AEM is an inhomogeneous electromechanical system, whose inhomogeneity manifests itself during service aging. The paper states that the methods and means being developed for the simulation of AEM operation states must represent the current health of the object with due regard for its service aging. The tool of Kolmogorov equations used for the simulation enables one to represent a current health of the object. An example of practical simulation is given. The probability of AEM failure should be treated as the relative value of the maximum element of the current deviation matrix. For systems with service aging, the state probability bounds must be associated with the attainment of the limit state by the object and its removal from service.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":" 100","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132011714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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