{"title":"在智能环境中诊断电气和电子系统","authors":"A. Bolton, P. Pourbeik, L. Jain","doi":"10.1109/ETD.1995.403469","DOIUrl":null,"url":null,"abstract":"There is a growing interest in intelligent tools in the area of fault detection and diagnosis in electrical and electronic systems. This paper reports the progress made in the development of a methodology for the diagnosis of electrical machines, with some encouraging initial results. An induction motor was chosen as an application of the knowledge based approach to fault diagnosis.<<ETX>>","PeriodicalId":302763,"journal":{"name":"Proceedings Electronic Technology Directions to the Year 2000","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Diagnosing electrical and electronic systems in an intelligent environment\",\"authors\":\"A. Bolton, P. Pourbeik, L. Jain\",\"doi\":\"10.1109/ETD.1995.403469\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a growing interest in intelligent tools in the area of fault detection and diagnosis in electrical and electronic systems. This paper reports the progress made in the development of a methodology for the diagnosis of electrical machines, with some encouraging initial results. An induction motor was chosen as an application of the knowledge based approach to fault diagnosis.<<ETX>>\",\"PeriodicalId\":302763,\"journal\":{\"name\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETD.1995.403469\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Electronic Technology Directions to the Year 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETD.1995.403469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diagnosing electrical and electronic systems in an intelligent environment
There is a growing interest in intelligent tools in the area of fault detection and diagnosis in electrical and electronic systems. This paper reports the progress made in the development of a methodology for the diagnosis of electrical machines, with some encouraging initial results. An induction motor was chosen as an application of the knowledge based approach to fault diagnosis.<>
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