Dynamic threshold computation in fault detection for discrete-time linear systems

This paper studies threshold computation in observer-based fault detection for discrete-time linear systems subject to unknown but bounded uncertainties. Based on two different assumptions on uncertainties, we propose two threshold computation methods for residual evaluation. First, we assume that t...

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Bibliographic Details
Published inChinese Control and Decision Conference pp. 2241 - 2246
Main Authors Liu, Xinyang, Wang, Zhenhua, Wang, Ye, Shen, Yi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2018
Subjects
Computational modeling
Fault detection
Fault diagnosis
L ∞ analysis
Linear systems
Observers
Threshold computation
Uncertainty
Zonotopes
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Summary:This paper studies threshold computation in observer-based fault detection for discrete-time linear systems subject to unknown but bounded uncertainties. Based on two different assumptions on uncertainties, we propose two threshold computation methods for residual evaluation. First, we assume that the uncertainties are bounded in known intervals and propose a zonotope-based threshold computation method. Second, the uncertainties are assumed to be norm-bounded and then a threshold computation method using L ∞ analysis is proposed. Numerical simulations are given to verify and compare the performance of the proposed methods.
ISSN:1948-9447
DOI:10.1109/CCDC.2018.8407499