{"title":"一类混合系统的故障检测","authors":"M. A. Rizvi, A. I. Bhatti, Q. R. Butt","doi":"10.1109/ICET.2009.5353187","DOIUrl":null,"url":null,"abstract":"This paper presents the mathematical abstraction for detecting faults in a class of MIMO system where inputs are acting in a specific cyclic sequence to produce the output using hybrid modeling. Based on the proposed mathematical abstraction an algorithm is proposed for the detection of faults in these systems. The method is then applied for the problem of misfire fault detection in spark ignition engines and simulation results are provided with noise added in data.","PeriodicalId":307661,"journal":{"name":"2009 International Conference on Emerging Technologies","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fault detection in a class of hybrid system\",\"authors\":\"M. A. Rizvi, A. I. Bhatti, Q. R. Butt\",\"doi\":\"10.1109/ICET.2009.5353187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the mathematical abstraction for detecting faults in a class of MIMO system where inputs are acting in a specific cyclic sequence to produce the output using hybrid modeling. Based on the proposed mathematical abstraction an algorithm is proposed for the detection of faults in these systems. The method is then applied for the problem of misfire fault detection in spark ignition engines and simulation results are provided with noise added in data.\",\"PeriodicalId\":307661,\"journal\":{\"name\":\"2009 International Conference on Emerging Technologies\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Emerging Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICET.2009.5353187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2009.5353187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents the mathematical abstraction for detecting faults in a class of MIMO system where inputs are acting in a specific cyclic sequence to produce the output using hybrid modeling. Based on the proposed mathematical abstraction an algorithm is proposed for the detection of faults in these systems. The method is then applied for the problem of misfire fault detection in spark ignition engines and simulation results are provided with noise added in data.
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