Fault Detection for Discrete-Time Systems With Fault Signal Happening Randomly: The Markov Approach | IEEE Journals & Magazine | IEEE Xplore

Fault Detection for Discrete-Time Systems With Fault Signal Happening Randomly: The Markov Approach

Open Access

Simulations of fault signal

Abstract:

In this paper, the fault detection problem is considered for a class of discrete-time systems with fault signal happening randomly. First, the random occurrence of fault ...Show More
Topic: Analysis and Synthesis of Time-delay Systems

Abstract:

In this paper, the fault detection problem is considered for a class of discrete-time systems with fault signal happening randomly. First, the random occurrence of fault is described by a Markov approach, which is transformed into some matrices experiencing Markov switchings. By using a fault detection filter as a residual generator, the fault detection and isolation (FDI) problem is transformed into an H filtering problem. Moreover, a mode-dependent Lyapunov functional is exploited to make its analysis and synthesis and is also named to be a fault-dependent approach. Then, sufficient conditions on the existence of an FDI filter are all provided in terms of linear matrix inequalities, in which two general cases about transition probability matrix are included. Finally, a practical example is used to illustrate the effectiveness and potential application of the developed theoretical results.
Topic: Analysis and Synthesis of Time-delay Systems
Simulations of fault signal
Published in: IEEE Access ( Volume: 5)
Page(s): 14680 - 14689
Date of Publication: 27 July 2017
Electronic ISSN: 2169-3536

Funding Agency:


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