NDLI: Fault diagnosis of the 3 tank system using fuzzy multiple inference modelling

Content Provider	IEEE Xplore Digital Library
Author	Lopez-Toribio, C.J. Patton, R.J. Batt, C. Chen, J.
Copyright Year	1999
Description	Author affiliation: Dept. of Mech. Eng., Brunel Univ., Uxbridge, UK (Chen, J.) \|\| Dept. of Electron. Eng., Univ. of Hull, Kingston upon Hull, UK (Lopez-Toribio, C.J.; Patton, R.J.; Batt, C.)
Abstract	This paper proposes a new approach for detecting and isolating faults in a non-linear dynamic process using the multiple model approach. The necessary conditions for the assignability of eigenvalues to a region in the s-plane and the necessary conditions to guarantee the stability of fuzzy models for Takagi-Sugeno (T-S) fuzzy observers are derived. The paper is structured in two stages. The first is to generate residual signals based on a comparison between the actual and estimated states and in the second stage the Takagi-Sugeno fuzzy observer is reconfigured to identify not only the faults but also the degree or severity of each fault. The techniques developed are demonstrated using a laboratory three tank system.
Starting Page	4444
Ending Page	4449
File Size	397475
Page Count	6
File Format	PDF
ISBN	9783952417355
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-08-31
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	EUCA
Subject Keyword	Fault diagnosis Fault-Tolerant Control Fuzzy logic Observers Robustness Eigenvalues and eigenfunctions Stability analysis Three tank system Linear matrix inequalities Mathematical model Modeling
Content Type	Text
Resource Type	Article

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