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https://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 |
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 |
Published version: | http://dx.doi.org/10.1049/iet-cta.2015.1320 |
Appears in Collections: | Aurora harvest 8 Electrical and Electronic Engineering publications |
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