3 years ago

Robust detection of intermittent sensor faults in stochastic LTV systems

Junfeng Zhang, Panagiotis D. Christofides, Xiao He, Zhe Wu, Yinghong Zhao, Donghua Zhou

This paper addresses the detection problem of intermittent sensor faults for linear time-varying (LTV) systems with stochastic uncertainties. A robust filter is proposed which has advantages of zero mean and minimum state estimation error covariance. Then a corresponding residual generator is constructed and the quantitative influence of sensor faults on it is analyzed. Next, we design the evaluation function and detection threshold to achieve intermittent fault detection (IFD). Besides, the detectability of sensor faults is also provided. Finally, a simulation study is carried out to illustrate the effectiveness and applicability of our proposed method.

Publisher URL: https://www.sciencedirect.com/science/article/pii/S0925231220300370

DOI: 10.1016/j.neucom.2019.12.111

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