Fault Detection and Isolation in Dynamic Systems using Statistical Local Approach and Hybrid Least Squares Algorithm
نویسندگان
چکیده
Belkacem ATHAMENA, Zina HOUHAMDI and Mohammed MUHAIRAT Software Engineering Department, Faculty of Science and Information Technology, Al-Zaytoonah University, Jordan Abstract: A fault detection and isolation (FDI) scheme for dynamic system proposed. This study deals with the design of discrete-time linear system using delta operator approach and the hybrid least squares (HLS) algorithm. A third residual generation based on statistical local approach and the derivative of the normalized residual on a small temporal window investigated. This new technique meets the desired FDI performance specifications by increasing the faults magnitude and decreasing the noise effects. Some simulation results were provided to evaluate the design.
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