QUANTITATIVE AND QUALITATIVE MODELS FOR FAULT DETECTION AND ISOLATION |
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| Affiliation: | 1. Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, China;2. College of Information Science and Technology, Bohai University, China;3. School of Mathematics and Physics, Bohai University, China;1. School of Automation, China University of Geosciences, Wuhan 430074, China;2. Department of Electrical Engineering & Electronics, University of Liverpool, Liverpool L69 3GJ, United Kingdom;3. School of Information Science and Engineering, Central South University, Changsha 410083, China;1. College of Electrical and Information Engineering, Southwest University for Nationalities, Chengdu 610041, China;2. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China;3. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;4. School of Information Science and Engineering, Chengdu University, Chengdu 610106, China;1. College of Management Science, Chengdu University of Technology, Chengdu, Sichuan 610059, PR China;2. College of Computer Science, Civil Aviation Flight University of China, Guanghan, Sichuan 618307, PR China;3. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China |
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| Abstract: | This paper develops a unified view of model-based approaches for fault detection and isolation (FDI), taking as a guideline the different levels of the knowledge available about the monitored system. Two functions of the FDI process are distinguished, namely alarm generation and alarm interpretation. The numerical and the qualitative model-based approaches are discussed with respect to these two functions. |
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