{"title":"电力系统谐波分析专家系统","authors":"D. Shipp, M. Swartz, W. Vilcheck, N. Woodley","doi":"10.1109/2943.384625","DOIUrl":null,"url":null,"abstract":"An effort to employ artificial intelligence (AI) in the form of a harmonics analysis expert system (HAES) is reported. The resulting PC-based software progrem has captured the knowledge of expert power system engineers in a rule base which can be applied to information about the topology, power signature, operating practices symptoms, equipment type and ratings, and chronology of system development to diagnose the power system for harmonics-caused problems.<<ETX>>","PeriodicalId":129476,"journal":{"name":"Conference Record of 1993 Annual Pulp and Paper Industry Technical Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Expert system for analysis of electric power system harmonics\",\"authors\":\"D. Shipp, M. Swartz, W. Vilcheck, N. Woodley\",\"doi\":\"10.1109/2943.384625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An effort to employ artificial intelligence (AI) in the form of a harmonics analysis expert system (HAES) is reported. The resulting PC-based software progrem has captured the knowledge of expert power system engineers in a rule base which can be applied to information about the topology, power signature, operating practices symptoms, equipment type and ratings, and chronology of system development to diagnose the power system for harmonics-caused problems.<<ETX>>\",\"PeriodicalId\":129476,\"journal\":{\"name\":\"Conference Record of 1993 Annual Pulp and Paper Industry Technical Conference\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of 1993 Annual Pulp and Paper Industry Technical Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/2943.384625\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of 1993 Annual Pulp and Paper Industry Technical Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/2943.384625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Expert system for analysis of electric power system harmonics
An effort to employ artificial intelligence (AI) in the form of a harmonics analysis expert system (HAES) is reported. The resulting PC-based software progrem has captured the knowledge of expert power system engineers in a rule base which can be applied to information about the topology, power signature, operating practices symptoms, equipment type and ratings, and chronology of system development to diagnose the power system for harmonics-caused problems.<>
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