Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11889/4537
Title: | A Fault Detection Scheme for Discrete-Time Markov Jump Linear Systems | Authors: | Abdo, Ali Damlakhi, Waseem Ding, Steven |
Keywords: | Fault location (Engineering) - Mathematical models;Discretetime MJLS;Kalman Filter (KF);False Alarm Rate (FAR) | Issue Date: | 2011 | Abstract: | In this paper, the fault detection (FD) problems for discrete-time Markov jump linear systems (MJLS) are addressed. A scheme for solving FD problem for discretetime MJLS, which is subject to the Gaussian disturbances, is proposed. The Kalman filter (KF) is used as a residual generator. Once a residual signal is generated, it will be evaluated whether faults occur or not. Residual evaluation function is selected such that the maximum fault detection rate (FDR) is achieved, for a given false alarm rate (FAR). Finally, threshold is computed by using an estimation of the variance of evaluation function in the fault-free case. To demonstrate the performance of this proposed method, a numerical example is given | URI: | http://hdl.handle.net/20.500.11889/4537 |
Appears in Collections: | Fulltext Publications |
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A_fault_detection_scheme_for_discrete-time_Markov_.pdf | 322.74 kB | Adobe PDF | View/Open |
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