Pub Date : 2020-09-01DOI: 10.1109/UralCon49858.2020.9216247
R. Klyuev, M. Madaeva, M. Umarova
In the course of a comprehensive energy audit at a non-ferrous metallurgy enterprise, a method for constructing mathematical models of the specific electricity consumption of electrolyzers based on a full factor experiment was developed. It is established that the obtained adequate mathematical model is used to calculate and predict the specific electricity consumption for hydrogen production and allows, within certain limits of variation in the amount of potassium bichromate and the density of the electrolyte, to control the consumption of electricity at industrial enterprises of non-ferrous metallurgy. The study and analysis of changes in the component of specific electricity consumption by the density of the electrolyte over time. It is established that when monitoring the density of the electrolyte in the on-line mode, it is recommended to pump the alkali 2 times a year for 0.5 of the total annual volume. At the same time, a significant reduction in the specific energy consumption is achieved. The results obtained in this work can be used for effective calculation and forecasting of electricity consumption of electrolyzers at non-ferrous metallurgy enterprises.
{"title":"Mathematical Modeling of Specific Power Consumption of Electrolyzers","authors":"R. Klyuev, M. Madaeva, M. Umarova","doi":"10.1109/UralCon49858.2020.9216247","DOIUrl":"https://doi.org/10.1109/UralCon49858.2020.9216247","url":null,"abstract":"In the course of a comprehensive energy audit at a non-ferrous metallurgy enterprise, a method for constructing mathematical models of the specific electricity consumption of electrolyzers based on a full factor experiment was developed. It is established that the obtained adequate mathematical model is used to calculate and predict the specific electricity consumption for hydrogen production and allows, within certain limits of variation in the amount of potassium bichromate and the density of the electrolyte, to control the consumption of electricity at industrial enterprises of non-ferrous metallurgy. The study and analysis of changes in the component of specific electricity consumption by the density of the electrolyte over time. It is established that when monitoring the density of the electrolyte in the on-line mode, it is recommended to pump the alkali 2 times a year for 0.5 of the total annual volume. At the same time, a significant reduction in the specific energy consumption is achieved. The results obtained in this work can be used for effective calculation and forecasting of electricity consumption of electrolyzers at non-ferrous metallurgy enterprises.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","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":"121994675","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/UralCon49858.2020.9216232
N. Zaytseva, D. Fedosov
The article considers the problem of improving the differential protection reliability in transient modes with current transformers' saturation. It is noted that in recent years in the power systems there have been repeated some incorrect trips of these protections in transient conditions. Tripping was observed not only during external short circuits, but also during motor starts and external load switching. The digital differential protection models for generator and transformer are developed using MATLAB Simulink. Transient modes are simulated, which confirmed the possibility of incorrect protection tripping during external short circuits and during motor starts and generator switching. To increase the protection reliability, it is proposed to apply blocking principle by the aperiodic (DC) component in the differential current in addition to digital restraining. Modeling the advanced protection operation confirmed the complete exclusion of incorrect trips during external short circuits and maintaining sensitivity to internal damage. The problem of measuring the aperiodic (DC) current component in the current transformer secondary circuits is noted. It can be solved by the use of current converters based on Hall sensors.
{"title":"Development of an Algorithm for Improving the Reliability of Digital Differential Protection in Transient Modes","authors":"N. Zaytseva, D. Fedosov","doi":"10.1109/UralCon49858.2020.9216232","DOIUrl":"https://doi.org/10.1109/UralCon49858.2020.9216232","url":null,"abstract":"The article considers the problem of improving the differential protection reliability in transient modes with current transformers' saturation. It is noted that in recent years in the power systems there have been repeated some incorrect trips of these protections in transient conditions. Tripping was observed not only during external short circuits, but also during motor starts and external load switching. The digital differential protection models for generator and transformer are developed using MATLAB Simulink. Transient modes are simulated, which confirmed the possibility of incorrect protection tripping during external short circuits and during motor starts and generator switching. To increase the protection reliability, it is proposed to apply blocking principle by the aperiodic (DC) component in the differential current in addition to digital restraining. Modeling the advanced protection operation confirmed the complete exclusion of incorrect trips during external short circuits and maintaining sensitivity to internal damage. The problem of measuring the aperiodic (DC) current component in the current transformer secondary circuits is noted. It can be solved by the use of current converters based on Hall sensors.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"20 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":"129688985","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/UralCon49858.2020.9216284
E. Sosnina, Nikita V. Shumskii, Pavel A. Shramko
The article describes the implementation of the “Energy Internet” concept at the 6–20 kV medium-voltage level. Energy router is a basic power flow control device in a distribution electric network (DEN). A decentralized energy router control system based on an artificial neural network has been proposed. The paper demonstrates the stages of its training and testing. A DEN model with an energy router has been created. The parameter dataset of the DEN model has been obtained by calculation. The data have been filtered and optimized on the developed algorithm. The generated dataset was used for training and testing the control system in a computer DEN model. The article shows the efficiency of using an energy router controlled by the developed algorithm.
{"title":"Development of a Distributed Energy Router Control System Based on a Neural Network","authors":"E. Sosnina, Nikita V. Shumskii, Pavel A. Shramko","doi":"10.1109/UralCon49858.2020.9216284","DOIUrl":"https://doi.org/10.1109/UralCon49858.2020.9216284","url":null,"abstract":"The article describes the implementation of the “Energy Internet” concept at the 6–20 kV medium-voltage level. Energy router is a basic power flow control device in a distribution electric network (DEN). A decentralized energy router control system based on an artificial neural network has been proposed. The paper demonstrates the stages of its training and testing. A DEN model with an energy router has been created. The parameter dataset of the DEN model has been obtained by calculation. The data have been filtered and optimized on the developed algorithm. The generated dataset was used for training and testing the control system in a computer DEN model. The article shows the efficiency of using an energy router controlled by the developed algorithm.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"90 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":"126235341","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/UralCon49858.2020.9216239
E. Solomin, Liu Liu, Ma Li, Pronay Kumar Paul
Renewable energy and in particular the Wind power is intermittent and fluctuating. Direct grid-connected wind power poses great challenges to the stability of the power system, as well as the control of grid frequency and power quality. Although the wind appearance could be predicted with some probability using the bunch of several approaches, for the safety of the end user, the original output power must be controlled. In this paper, the wavelet packet decomposition is used to decompose the original/input wind power until the target grid-connected power meets the set requirements and stops decomposing. For the first time the approach uses the Artificial neural network approach.
{"title":"Energy Storage Control Strategy Based on Wind Prediction and Wavelet Packet","authors":"E. Solomin, Liu Liu, Ma Li, Pronay Kumar Paul","doi":"10.1109/UralCon49858.2020.9216239","DOIUrl":"https://doi.org/10.1109/UralCon49858.2020.9216239","url":null,"abstract":"Renewable energy and in particular the Wind power is intermittent and fluctuating. Direct grid-connected wind power poses great challenges to the stability of the power system, as well as the control of grid frequency and power quality. Although the wind appearance could be predicted with some probability using the bunch of several approaches, for the safety of the end user, the original output power must be controlled. In this paper, the wavelet packet decomposition is used to decompose the original/input wind power until the target grid-connected power meets the set requirements and stops decomposing. For the first time the approach uses the Artificial neural network approach.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"22 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":"127975731","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/UralCon49858.2020.9216264
N. Dobroskok, V. S. Lavrinovskiy, N. Serebrova
Recent increasing of power consuming in electric ship propulsion exceed the capability of modern semiconductor devices. Propulsion drive converter must be at least 20 MW with tough voltage limitation to explore and use Arctic region. This paper is describing alternative simplified approach to analyze multichannel power converter which is represented by MISO system with similar input channels. Described approach limit the time constants of single channel in converter and external load circuit. This restriction allow reducing rank of system to equivalent with single input channel. In common power converters time constants is hard to split up but in low frequency high power propulsion drives this approach can be used. Specific object of control and analysis is multichannel current stabilizer on inductive load.
{"title":"Simplified Analysis of Multichannel Semiconductor High Power Converter","authors":"N. Dobroskok, V. S. Lavrinovskiy, N. Serebrova","doi":"10.1109/UralCon49858.2020.9216264","DOIUrl":"https://doi.org/10.1109/UralCon49858.2020.9216264","url":null,"abstract":"Recent increasing of power consuming in electric ship propulsion exceed the capability of modern semiconductor devices. Propulsion drive converter must be at least 20 MW with tough voltage limitation to explore and use Arctic region. This paper is describing alternative simplified approach to analyze multichannel power converter which is represented by MISO system with similar input channels. Described approach limit the time constants of single channel in converter and external load circuit. This restriction allow reducing rank of system to equivalent with single input channel. In common power converters time constants is hard to split up but in low frequency high power propulsion drives this approach can be used. Specific object of control and analysis is multichannel current stabilizer on inductive load.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"51 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":"130092849","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/UralCon49858.2020.9216285
Andrey Puzakov
Electrical failures are the main reasons of automotive alternators breakdown; the output voltage parameters are used for identification of these failures. The insufficient information awareness in the initial stage of the failure development may be the disadvantage of such parameters as average value and voltage excursion. Spectral analysis of output voltage showed the occurrence of the fractional harmonics, the amplitude and the frequency of which are specific for the impending damages of automotive alternator. The failure-recognition algorithm was developed based on the qualitative analysis of spectrum of output analysis of automotive alternator. Use of spectral analysis during troubleshooting of automotive alternator improves considerably the efficiency and reliability of the obtained results.
{"title":"Spectral Analysis of Output Voltage of the Automotive Alternator","authors":"Andrey Puzakov","doi":"10.1109/UralCon49858.2020.9216285","DOIUrl":"https://doi.org/10.1109/UralCon49858.2020.9216285","url":null,"abstract":"Electrical failures are the main reasons of automotive alternators breakdown; the output voltage parameters are used for identification of these failures. The insufficient information awareness in the initial stage of the failure development may be the disadvantage of such parameters as average value and voltage excursion. Spectral analysis of output voltage showed the occurrence of the fractional harmonics, the amplitude and the frequency of which are specific for the impending damages of automotive alternator. The failure-recognition algorithm was developed based on the qualitative analysis of spectrum of output analysis of automotive alternator. Use of spectral analysis during troubleshooting of automotive alternator improves considerably the efficiency and reliability of the obtained results.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"150 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":"134101282","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/UralCon49858.2020.9216259
Y. Zatsarinnaya, K. Suslov, A. Danilin
Partial discharges (PD) have been studied for 50 years and their influence on the operation of electric machines is undeniable. The authors of the article conducted a study proving that an increase in PD activity over time (more pulses and larger pulses) indicates an aging of the stator winding insulation. It is possible to predict how seriously the condition of the winding has worsened long before an emergency failure occurs by knowing this. The article presents the results of PD measurements in the stator winding of a turbo-generator. It was decided to conduct a survey of the stator during the overhaul due to the change in the levels of PD in the process of monitoring. The survey confirmed the preliminary results of the analysis of PD which once again proves the necessity of such tests.
{"title":"Assessment of the Technical Condition of Turbogenerators by Partial Discharges","authors":"Y. Zatsarinnaya, K. Suslov, A. Danilin","doi":"10.1109/UralCon49858.2020.9216259","DOIUrl":"https://doi.org/10.1109/UralCon49858.2020.9216259","url":null,"abstract":"Partial discharges (PD) have been studied for 50 years and their influence on the operation of electric machines is undeniable. The authors of the article conducted a study proving that an increase in PD activity over time (more pulses and larger pulses) indicates an aging of the stator winding insulation. It is possible to predict how seriously the condition of the winding has worsened long before an emergency failure occurs by knowing this. The article presents the results of PD measurements in the stator winding of a turbo-generator. It was decided to conduct a survey of the stator during the overhaul due to the change in the levels of PD in the process of monitoring. The survey confirmed the preliminary results of the analysis of PD which once again proves the necessity of such tests.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"1 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":"128950314","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/UralCon49858.2020.9216233
E. Sosnina, A. Shalukho, L. Veselov
The article is devoted to the efficiency study of using solid oxide fuel cells (SOFC) in the power supply system of agricultural enterprises. SOFC's advantages are high efficiency and zero polluting emissions. Biogas from the processed enterprise waste is a fuel for SOFC. The livestock complex which power source is a centralized electrical network, was selected as the research object. The integration of SOFC into the power supply system as an additional energy source will improve the livestock complex energy security, and the use of biogas from agricultural waste will reduce harmful impact on the environment. A method for determining the optimal power of the SOFC was developed. The method takes into account the total cost of energy supply to the enterprise. Energy supply cost dependence on the SOFC rated power was studied. As a result, a cost function extremum corresponding to the SOFC optimal capacity was found out.
{"title":"Research and Development of the Power Supply System Based on Biogas-Powered SOFC for an Agricultural Enterprise","authors":"E. Sosnina, A. Shalukho, L. Veselov","doi":"10.1109/UralCon49858.2020.9216233","DOIUrl":"https://doi.org/10.1109/UralCon49858.2020.9216233","url":null,"abstract":"The article is devoted to the efficiency study of using solid oxide fuel cells (SOFC) in the power supply system of agricultural enterprises. SOFC's advantages are high efficiency and zero polluting emissions. Biogas from the processed enterprise waste is a fuel for SOFC. The livestock complex which power source is a centralized electrical network, was selected as the research object. The integration of SOFC into the power supply system as an additional energy source will improve the livestock complex energy security, and the use of biogas from agricultural waste will reduce harmful impact on the environment. A method for determining the optimal power of the SOFC was developed. The method takes into account the total cost of energy supply to the enterprise. Energy supply cost dependence on the SOFC rated power was studied. As a result, a cost function extremum corresponding to the SOFC optimal capacity was found out.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"88 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":"128811205","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/UralCon49858.2020.9216291
V. Dovgun, D. Egorov, Sergei Temerbaev
Multipulse rectifiers are typical nonlinear harmonic-producing loads of industrial power systems. An effective solution for power system harmonic mitigation in industrial systems are passive filters. But the use of conventional narrow-band filters can be difficult due to the parallel resonance caused single filter branches. This paper presents a new passive filtering system for power factor correction, current and voltage harmonic attenuation in industrial power supply systems with multi-pulse nonlinear loads. The basis of the proposed compensating device is a wide-band damping filter, which provides attenuation of low-frequency non-characteristic harmonics and damping of the power system resonance modes in the range including frequencies of both characteristic and non-characteristic harmonics. A conceptual wide-band damping filters design procedure based on linear circuit synthesis methods is discussed.
{"title":"Passive Filtering Systems for Multipulse Rectifiers","authors":"V. Dovgun, D. Egorov, Sergei Temerbaev","doi":"10.1109/UralCon49858.2020.9216291","DOIUrl":"https://doi.org/10.1109/UralCon49858.2020.9216291","url":null,"abstract":"Multipulse rectifiers are typical nonlinear harmonic-producing loads of industrial power systems. An effective solution for power system harmonic mitigation in industrial systems are passive filters. But the use of conventional narrow-band filters can be difficult due to the parallel resonance caused single filter branches. This paper presents a new passive filtering system for power factor correction, current and voltage harmonic attenuation in industrial power supply systems with multi-pulse nonlinear loads. The basis of the proposed compensating device is a wide-band damping filter, which provides attenuation of low-frequency non-characteristic harmonics and damping of the power system resonance modes in the range including frequencies of both characteristic and non-characteristic harmonics. A conceptual wide-band damping filters design procedure based on linear circuit synthesis methods is discussed.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"63 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":"131875910","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/UralCon49858.2020.9216283
Marat R. Surakov, I. V. Prakhov, A. Khismatullin
The state of industrial safety at explosion and fire hazardous and chemically hazardous production facilities is largely determined by pump-and-compressor equipment technical state. Due to the high danger of chemicals circulating in the enterprises technological cycles, pump-and-compressor equipment failure can lead to emergency situations accompanied by significant economic and environmental damage. The paper presents the results of experimental studies of the interrelation between the operating modes and pump-and-compressor equipment characteristic damages of explosion and fire hazardous and chemically hazardous production facilities with higher harmonic components of currents and voltages parameters generated by electric drive motors. To ensure the electrically driven pump-and-compressor equipment technical state and predict its safe operation life, we developed the software and hardware system, the principle of which is based on the parameter sets generated by the electric drive motor of currents and voltages harmonic components and by using the artificial neural networks method. For training an artificial neural network the theory of experimental design is used, which allows us to create the necessary database for training with a significant decrease in the training experiments number. An important advantage of the developed software and hardware system is that it allows us to diagnose operating equipment and perform remote monitoring. Defects detection on operating equipment at an early stage of their development not only prevents a sudden stop of production as a result of an accident, but also significantly reduces the repairing cost of equipment and increases its service life.
{"title":"Software and Hardware System Development for Determining Pump-and-Compressor Equipment Technical State","authors":"Marat R. Surakov, I. V. Prakhov, A. Khismatullin","doi":"10.1109/UralCon49858.2020.9216283","DOIUrl":"https://doi.org/10.1109/UralCon49858.2020.9216283","url":null,"abstract":"The state of industrial safety at explosion and fire hazardous and chemically hazardous production facilities is largely determined by pump-and-compressor equipment technical state. Due to the high danger of chemicals circulating in the enterprises technological cycles, pump-and-compressor equipment failure can lead to emergency situations accompanied by significant economic and environmental damage. The paper presents the results of experimental studies of the interrelation between the operating modes and pump-and-compressor equipment characteristic damages of explosion and fire hazardous and chemically hazardous production facilities with higher harmonic components of currents and voltages parameters generated by electric drive motors. To ensure the electrically driven pump-and-compressor equipment technical state and predict its safe operation life, we developed the software and hardware system, the principle of which is based on the parameter sets generated by the electric drive motor of currents and voltages harmonic components and by using the artificial neural networks method. For training an artificial neural network the theory of experimental design is used, which allows us to create the necessary database for training with a significant decrease in the training experiments number. An important advantage of the developed software and hardware system is that it allows us to diagnose operating equipment and perform remote monitoring. Defects detection on operating equipment at an early stage of their development not only prevents a sudden stop of production as a result of an accident, but also significantly reduces the repairing cost of equipment and increases its service life.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"181 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":"116874193","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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