{"title":"Decision-making System Algorithms for the Maintenance and Forecasting of Automated Electric Drives","authors":"O. Kryukov, Igor Gulyayev, D. Teplukhov","doi":"10.17213/0136-3360-2022-4-72-78","DOIUrl":null,"url":null,"abstract":"The control system algorithms for the technical condition of complex automated electric drive systems using forecast-ing are presented, which make it possible to increase the efficiency of the maintenance systems implementation. Ap-proaches to forecasting the state of the driving synchronous electric motors of technological installations as discrete stochastic systems that provide reliable information on the state in an on-line mode have been considered. A logical-probabilistic diagnostic model of the decision-making system on the need for technical diagnostics procedures has been formed. The proposed method has been tested on synchronous machines of the STD-12500-2 type, which operate as drive electric motors for gas-pumping units at linear compressor stations of the main gas transport.","PeriodicalId":105792,"journal":{"name":"Известия высших учебных заведений. Электромеханика","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Известия высших учебных заведений. Электромеханика","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17213/0136-3360-2022-4-72-78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The control system algorithms for the technical condition of complex automated electric drive systems using forecast-ing are presented, which make it possible to increase the efficiency of the maintenance systems implementation. Ap-proaches to forecasting the state of the driving synchronous electric motors of technological installations as discrete stochastic systems that provide reliable information on the state in an on-line mode have been considered. A logical-probabilistic diagnostic model of the decision-making system on the need for technical diagnostics procedures has been formed. The proposed method has been tested on synchronous machines of the STD-12500-2 type, which operate as drive electric motors for gas-pumping units at linear compressor stations of the main gas transport.