Design of intelligent diagnosis system based on CBR for jet engine

Bo Xu; Xingshan Li; Jinsong Yu

doi:10.1117/12.522341

2 September 2003 Design of intelligent diagnosis system based on CBR for jet engine

Bo Xu, Xingshan Li, Jinsong Yu

Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.522341
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China

Abstract

Condition monitoring and fault diagnosis are crucial for insuring flight safety. According to characteristics of complex systems, this paper proposes an intelligent system for off-line fault detection and diagnosis for gas path components in jet engine. Based on a machine learning methodology named Case-based Reasoning (CBR), this system consists of two types of case-bases, static case-base and dynamic case-base. Dynamic time warping (DTW) is used to retrieve dynamic cases by assessing the similarity between two dynamic sequence samples.

Citation Download Citation

Bo Xu, Xingshan Li, and Jinsong Yu "Design of intelligent diagnosis system based on CBR for jet engine", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); https://doi.org/10.1117/12.522341

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