Fault diagnosis with dynamic fuzzy discrete event system approach

Date

2006-01-01

Author

Kiliç, Erdal
Karasu, Çaǧlar
Leblebicioğlu, Mehmet Kemal

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Determining faults is a challenging task in complex systems. A discrete event system (DES) or a fuzzy discrete event system (FDES) approach with a fuzzy rule-base may resolve the ambiguity in a fault diagnosis problem especially in the case of multiple faults. In this study, an FDES approach with a fuzzy rule-base is used as a means of indicating the degree and priority of faults, especially in the case of multiple faults. The fuzzy rule-base is constructed using event-fault relations. Fuzzy events occurring any time with different membership degrees are obtained using k-means clustering algorithm. The fuzzy sub-event sequences are used to construct super events. The study is concluded by giving some examples about the distinguishability of fault types (parameter, actuator) in an unmanned small helicopter. © Springer-Verlag Berlin Heidelberg 2006.

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33746694780&origin=inward
https://hdl.handle.net/11511/107421

DOI

https://doi.org/10.1007/11803089_14

Conference Name

14th Turkish Symposium on Artificial Intelligence and Neural Networks, TAINN 2005

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Citation Formats

E. Kiliç, Ç. Karasu, and M. K. Leblebicioğlu, “Fault diagnosis with dynamic fuzzy discrete event system approach,” İzmir, Türkiye, 2006, vol. 3949 LNAI, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33746694780&origin=inward.