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Multi-thresholds for fault isolation in the presence of uncertainties
Affiliation:1. Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta, Canada;1. School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, China;2. School of Automation, China University of Geosciences, Wuhan, Hubei 430074, China;3. School of Engineering, Tokyo University of Technology, Hachioji, Tokyo 192-0982, Japan;1. Electrical Engineering Department, Kalyani Government Engineering College, Kalyani, Nadia 741235, India;2. Electrical Engineering Department, Jadavpur University, Kolkata 700032, India;1. College of Electrical and Information Engineering, Southwest University for Nationalities of China, Chengdu, Sichuan 610041, China;2. School of Science, Hubei University for Nationalities, Hubei 445000, China
Abstract:Monitoring of the faults is an important task in mechatronics. It involves the detection and isolation of faults which are performed by using the residuals. These residuals represent numerical values that define certain intervals called thresholds. In fact, the fault is detected if the residuals exceed the thresholds. In addition, each considered fault must activate a unique set of residuals to be isolated. However, in the presence of uncertainties, false decisions can occur due to the low sensitivity of certain residuals towards faults. In this paper, an efficient approach to make decision on fault isolation in the presence of uncertainties is proposed. Based on the bond graph tool, the approach is developed in order to generate systematically the relations between residuals and faults. The generated relations allow the estimation of the minimum detectable and isolable fault values. The latter is used to calculate the thresholds of isolation for each residual.
Keywords:Diagnosis  Dynamic systems  Fault detection and isolation  Uncertainties
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