DocumentCode
701912
Title
Comparison of fuzzy modelling approaches for fault detection systems
Author
Baranyi, Peter ; Patton, Ron J. ; Uppal, Faisel J.
Author_Institution
Control and Intelligent Systems Research Group, University of Hull, Cottingham Road, Hull, HU6 7RX, UK
fYear
2003
fDate
1-4 Sept. 2003
Firstpage
653
Lastpage
658
Abstract
Fuzzy modelling together with Parallel Distributed Compensation (PDC)-based system analysis and controller/observer design techniques have emerged among the methods for developing fault detection and isolation (FDI). This paper provides a comparison of fuzzy logic modelling approaches for FDI of complex systems. The work is motivated by the modelling issues of the Takagi-Sugeno (T-S) fuzzy inference operator-based approximation structure that is essential for the implementation of a PDC system. The paper focuses on an application study of fault diagnosis for an industrial actuator system, conducted within the framework of the European study DAMADICS.
Keywords
Approximation methods; Complexity theory; Computational modeling; Fuzzy sets; IP networks; Tensile stress; Valves; fault diagnosis; fuzzy modelling; modelling complexity and accuracy; parallel distributed compensation;
fLanguage
English
Publisher
ieee
Conference_Titel
European Control Conference (ECC), 2003
Conference_Location
Cambridge, UK
Print_ISBN
978-3-9524173-7-9
Type
conf
Filename
7085030
Link To Document