{"title":"基于AI-ESTATE的智能诊断系统设计与实现","authors":"Jin-song Luo, Z. Su","doi":"10.1109/ICIC.2011.48","DOIUrl":null,"url":null,"abstract":"To enhance the reusability of the TPS and diagnostics method of the ATS, a way to decouple the diagnosis from the test is needed. AI-ESTATE is a new set of IEEE standard services designed to support Artificially Intelligent diagnostic reasoners running in an ATS environment. This paper brings forward a method that building a component-based ATS fault diagnosis system based on AI-ESTATE to decouple the diagnosis from the test, and expatiates the key technologies for system realization. To achieve the portability and interactive operation of AI-ESTATE diagnosis system, the function of AI-ESTATE inference engine service is analyzed. In different diagnosis environment, standardizing and effect in diagnosis process of inference engine service are analyzed.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Design and Implementation of Intelligent Diagnostic System Based on AI-ESTATE\",\"authors\":\"Jin-song Luo, Z. Su\",\"doi\":\"10.1109/ICIC.2011.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To enhance the reusability of the TPS and diagnostics method of the ATS, a way to decouple the diagnosis from the test is needed. AI-ESTATE is a new set of IEEE standard services designed to support Artificially Intelligent diagnostic reasoners running in an ATS environment. This paper brings forward a method that building a component-based ATS fault diagnosis system based on AI-ESTATE to decouple the diagnosis from the test, and expatiates the key technologies for system realization. To achieve the portability and interactive operation of AI-ESTATE diagnosis system, the function of AI-ESTATE inference engine service is analyzed. In different diagnosis environment, standardizing and effect in diagnosis process of inference engine service are analyzed.\",\"PeriodicalId\":6397,\"journal\":{\"name\":\"2011 Fourth International Conference on Information and Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Information and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIC.2011.48\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Information and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC.2011.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Implementation of Intelligent Diagnostic System Based on AI-ESTATE
To enhance the reusability of the TPS and diagnostics method of the ATS, a way to decouple the diagnosis from the test is needed. AI-ESTATE is a new set of IEEE standard services designed to support Artificially Intelligent diagnostic reasoners running in an ATS environment. This paper brings forward a method that building a component-based ATS fault diagnosis system based on AI-ESTATE to decouple the diagnosis from the test, and expatiates the key technologies for system realization. To achieve the portability and interactive operation of AI-ESTATE diagnosis system, the function of AI-ESTATE inference engine service is analyzed. In different diagnosis environment, standardizing and effect in diagnosis process of inference engine service are analyzed.
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