V. Blinov, S. Valeev, N. Kondratyeva, R. Karimov, Alexey S. Kovtunenko, E. Kuzmina
{"title":"支持基于智能技术和预测分析的复杂技术系统的生命周期","authors":"V. Blinov, S. Valeev, N. Kondratyeva, R. Karimov, Alexey S. Kovtunenko, E. Kuzmina","doi":"10.18287/1613-0073-2019-2416-314-323","DOIUrl":null,"url":null,"abstract":"The application of predictive analytics in the design, production and operation to achieve the efficiency of the life cycle of complex technical systems is discussed. A predictive model of information support for the life cycle of a microsatellite propulsion system based on a neural network system is proposed. The predictive model can solve the problem of estimating fuel consumption, diagnosing and detecting possible failures of a small propulsion system.","PeriodicalId":10486,"journal":{"name":"Collection of selected papers of the III International Conference on Information Technology and Nanotechnology","volume":"57 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Supporting the life cycle of complex technical systems on the basis of intelligent technologies and predictive analytics\",\"authors\":\"V. Blinov, S. Valeev, N. Kondratyeva, R. Karimov, Alexey S. Kovtunenko, E. Kuzmina\",\"doi\":\"10.18287/1613-0073-2019-2416-314-323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The application of predictive analytics in the design, production and operation to achieve the efficiency of the life cycle of complex technical systems is discussed. A predictive model of information support for the life cycle of a microsatellite propulsion system based on a neural network system is proposed. The predictive model can solve the problem of estimating fuel consumption, diagnosing and detecting possible failures of a small propulsion system.\",\"PeriodicalId\":10486,\"journal\":{\"name\":\"Collection of selected papers of the III International Conference on Information Technology and Nanotechnology\",\"volume\":\"57 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Collection of selected papers of the III International Conference on Information Technology and Nanotechnology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18287/1613-0073-2019-2416-314-323\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Collection of selected papers of the III International Conference on Information Technology and Nanotechnology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18287/1613-0073-2019-2416-314-323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Supporting the life cycle of complex technical systems on the basis of intelligent technologies and predictive analytics
The application of predictive analytics in the design, production and operation to achieve the efficiency of the life cycle of complex technical systems is discussed. A predictive model of information support for the life cycle of a microsatellite propulsion system based on a neural network system is proposed. The predictive model can solve the problem of estimating fuel consumption, diagnosing and detecting possible failures of a small propulsion system.
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