{"title":"基于多分辨率信号分解技术的传感器和执行器预测算法","authors":"H. Bal, S. Mohanty, N. Mahalik, Kiseon Kim","doi":"10.1109/PACC.2011.5979041","DOIUrl":null,"url":null,"abstract":"Model-based Fault Detection and Isolation (FDI) in sensors and actuators are found in the literature since two decades. This research focuses on multi-resolution signal decomposition (MRSD) method which is an extension of the Short-Time Fourier Transform, a spectral analysis methods for FDI. The simulation study suggests that the developed MRSD algorithms can be effectively used for the design of smart sensors and actuators.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic Algorithm for Sensors and Actuators Using Multiresolution Signal Decomposition Technique\",\"authors\":\"H. Bal, S. Mohanty, N. Mahalik, Kiseon Kim\",\"doi\":\"10.1109/PACC.2011.5979041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Model-based Fault Detection and Isolation (FDI) in sensors and actuators are found in the literature since two decades. This research focuses on multi-resolution signal decomposition (MRSD) method which is an extension of the Short-Time Fourier Transform, a spectral analysis methods for FDI. The simulation study suggests that the developed MRSD algorithms can be effectively used for the design of smart sensors and actuators.\",\"PeriodicalId\":403612,\"journal\":{\"name\":\"2011 International Conference on Process Automation, Control and Computing\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Process Automation, Control and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACC.2011.5979041\",\"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 International Conference on Process Automation, Control and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACC.2011.5979041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prognostic Algorithm for Sensors and Actuators Using Multiresolution Signal Decomposition Technique
Model-based Fault Detection and Isolation (FDI) in sensors and actuators are found in the literature since two decades. This research focuses on multi-resolution signal decomposition (MRSD) method which is an extension of the Short-Time Fourier Transform, a spectral analysis methods for FDI. The simulation study suggests that the developed MRSD algorithms can be effectively used for the design of smart sensors and actuators.
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