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Robust detection of intermittent multiplicative sensor fault
Author(s) -
Zhang Junfeng,
Christofides Panagiotis D.,
He Xiao,
Zhao Yinghong,
Zhang Zhihao,
Zhou Donghua
Publication year - 2021
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2241
Subject(s) - fault detection and isolation , residual , multiplicative function , control theory (sociology) , covariance , computer science , fault (geology) , filter (signal processing) , generator (circuit theory) , simple (philosophy) , algorithm , mathematical optimization , mathematics , artificial intelligence , power (physics) , statistics , mathematical analysis , control (management) , actuator , physics , philosophy , epistemology , quantum mechanics , seismology , computer vision , geology
In this paper, the detection problem of intermittent multiplicative sensor fault is investigated for stochastic uncertain systems. A robust optimal filter is designed according to the criterion of minimum estimation error covariance. Then, based on this, a residual generator is constructed, and the quantitative effect of the fault on it is discussed in detail. After that we design the evaluation function and detection threshold to achieve intermittent fault detection. Our proposed strategy has a recursive form and only includes simple arithmetic operations, thus it is suitable for real‐time online applications. Finally, a simulation example is given to demonstrate the effectiveness of the proposed strategy.