An Approach to Fault Detection and Isolation in Nonlinear System Based on Fuzzy Logic

Liu Zhiyan; SHEN Yi; Liu Yiping

doi:10.3969/j.issn.1000-8152.2001.02.016

Home>Articles>An Approach to Fault Detection and Isolation in Nonlinear System Based on Fuzzy Logic

DOI: 10.3969/j.issn.1000-8152.2001.02.016

An Approach to Fault Detection and Isolation in Nonlinear System Based on Fuzzy Logic

Liu Zhiyan

SHEN Yi

Liu Yiping

Abstract：A new fuzzy model with symbols for faults in system is proposed. Further, based on this model, a new method for fault detection and location in nonlinear systems is developed. The method extracts fuzzy rules by fuzzy cluster algorithms to perform fault diagnosis. It can be still efficient when there exist noise and model error. Finally, the simulation results demonstrate the effectiveness and feasibility of the proposed method.

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Publication Date：2001-01-01

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

Pages：4( 234-237 )

CONTROL THEOR &APPLICATIONS

PKUISTICEI

ISSN：1000-8152

Year, Vol.(Issue)：2001,18(2)