{"title":"植物故障诊断的定性和定量方法","authors":"A.H. Jones, B. Porter, R. Fripp","doi":"10.1109/ISIC.1988.65410","DOIUrl":null,"url":null,"abstract":"The architecturally relevant issues which arise in the development of both qualitative and quantitative fault-diagnostic systems are discussed, and the technical issues of acquiring the knowledge and using it effectively are addressed. A direct comparison is drawn between the performances of both fault-detection systems while detecting the same fault on a laboratory test rig. It is concluded that fault-diagnostic systems must be sensitive to the appearance of faults but robust enough not to produce false alarms. It is also concluded that the fault signatures associated with plant-transgression-based methods are stronger, and therefore easier to detect, than model-based transgressions. However, the model-based approach can be extremely effective at detecting faults which manifest themselves as changes in internal plant dynamics.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Qualitative and quantitative approaches to the diagnosis of plant faults\",\"authors\":\"A.H. Jones, B. Porter, R. Fripp\",\"doi\":\"10.1109/ISIC.1988.65410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The architecturally relevant issues which arise in the development of both qualitative and quantitative fault-diagnostic systems are discussed, and the technical issues of acquiring the knowledge and using it effectively are addressed. A direct comparison is drawn between the performances of both fault-detection systems while detecting the same fault on a laboratory test rig. It is concluded that fault-diagnostic systems must be sensitive to the appearance of faults but robust enough not to produce false alarms. It is also concluded that the fault signatures associated with plant-transgression-based methods are stronger, and therefore easier to detect, than model-based transgressions. However, the model-based approach can be extremely effective at detecting faults which manifest themselves as changes in internal plant dynamics.<<ETX>>\",\"PeriodicalId\":155616,\"journal\":{\"name\":\"Proceedings IEEE International Symposium on Intelligent Control 1988\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Symposium on Intelligent Control 1988\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.1988.65410\",\"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 IEEE International Symposium on Intelligent Control 1988","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1988.65410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Qualitative and quantitative approaches to the diagnosis of plant faults
The architecturally relevant issues which arise in the development of both qualitative and quantitative fault-diagnostic systems are discussed, and the technical issues of acquiring the knowledge and using it effectively are addressed. A direct comparison is drawn between the performances of both fault-detection systems while detecting the same fault on a laboratory test rig. It is concluded that fault-diagnostic systems must be sensitive to the appearance of faults but robust enough not to produce false alarms. It is also concluded that the fault signatures associated with plant-transgression-based methods are stronger, and therefore easier to detect, than model-based transgressions. However, the model-based approach can be extremely effective at detecting faults which manifest themselves as changes in internal plant dynamics.<>