Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/118327
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Type: Journal article
Title: Incipient fault diagnosis for T-S fuzzy systems with application to high-speed railway traction devices
Author: Wu, Y.
Jiang, B.
Shi, P.
Citation: IET Control Theory and Applications, 2016; 10(17):2286-2297
Publisher: Institution of Engineering and Technology
Issue Date: 2016
ISSN: 1751-8644
1751-8652
Statement of
Responsibility: 
Yunkai Wu, Bin Jiang , Peng Shi
Abstract: This study addresses the problem of incipient fault detection and diagnosis for Takagi-Sugeno (T-S) fuzzy systems and explores further results of total measurable fault information residual (ToMFIR). First, T-S fuzzy model is used to describe the global dynamics of a non-linear system and the model of incipient actuator faults is formalised. Second, based on the ToMFIR, a novel incipient fault detection method is proposed, which removes the assumptions on system structure in some existing work. Further, sliding-mode observers combined with ToMFIR-based thresholds are designed for incipient fault isolation. Finally, application results conducted on a high-speed railway traction device are given to illustrate the effectiveness of the proposed approach.
Rights: © The Institution of Engineering and Technology 2016
RMID: 0030095900
DOI: 10.1049/iet-cta.2015.1320
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
http://purl.org/au-research/grants/arc/LP140100471
http://purl.org/au-research/grants/arc/LE150100079
Appears in Collections:Electrical and Electronic Engineering publications

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