{"title":"煤机电驱动控制系统及其技术条件的控制与预测","authors":"D. Shprekher, G. I. Babokin, E. Kolesnikov","doi":"10.1109/FAREASTCON.2018.8602887","DOIUrl":null,"url":null,"abstract":"We propose a system of electric drive control of the coal miner, which allows to increase the reliability and safety of its operation. The problem is solved by predicting the diagnosed parameters of the power elements and preemptive control actions on the control system of the electric drive and the organization of maintenance and repair. Forecasting values of drive parameters is carried out using a neural network model, and allows to increase the mean time between failures and availability of the electric drive compared with the control system without prediction parameters.","PeriodicalId":177690,"journal":{"name":"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Control System of Electric Drive of a Coal Combine with Control and Forecasting of its Technical Condition\",\"authors\":\"D. Shprekher, G. I. Babokin, E. Kolesnikov\",\"doi\":\"10.1109/FAREASTCON.2018.8602887\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a system of electric drive control of the coal miner, which allows to increase the reliability and safety of its operation. The problem is solved by predicting the diagnosed parameters of the power elements and preemptive control actions on the control system of the electric drive and the organization of maintenance and repair. Forecasting values of drive parameters is carried out using a neural network model, and allows to increase the mean time between failures and availability of the electric drive compared with the control system without prediction parameters.\",\"PeriodicalId\":177690,\"journal\":{\"name\":\"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)\",\"volume\":\"111 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FAREASTCON.2018.8602887\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FAREASTCON.2018.8602887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control System of Electric Drive of a Coal Combine with Control and Forecasting of its Technical Condition
We propose a system of electric drive control of the coal miner, which allows to increase the reliability and safety of its operation. The problem is solved by predicting the diagnosed parameters of the power elements and preemptive control actions on the control system of the electric drive and the organization of maintenance and repair. Forecasting values of drive parameters is carried out using a neural network model, and allows to increase the mean time between failures and availability of the electric drive compared with the control system without prediction parameters.