Aero-engine fault diagnosis based on support vector machine

Hangkong Dongli Xuebao/Journal of Aerospace Power

Volumn 20, Issue 2, 2005, Pages 298-302

  Xu, Qi Hua ^a   Shi, Jun ^b  

^a HUAIHAI INSTITUTE OF TECHNOLOGY   (China)

^b NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Aero engine; Aerospace propulsion system; Fault diagnosis; Robustness; Support vector machines

Indexed keywords

ACOUSTIC NOISE; CLASSIFICATION (OF INFORMATION); DIAGNOSIS; JET ENGINES; ROBUSTNESS (CONTROL SYSTEMS);

AEROENGINE; FAULT DIAGNOSIS; GAS PATH COMPONENTS; MULTIPLE FAULTS; S INGLE FAULT; SUPPORT VECTOR MACHINE (SVM);

AIRCRAFT ENGINES;

EID: 19644390714     PISSN: 10008055     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. CHEN Tian, SUN Jian-guo, YANG Wei-hua, et al. Self-Organizing Neural Network Based Fault Diagnosis for Aeroengine Gas Path[J]. Acta Aeronautica ET Astronautica Sinica, 2003, 24(1): 46-48.
2. JIANG Dong-xiang, WANG Fengyu, ZHOU Ming, et al. Application of Fuzzy Self-Organizing Neural Network to Sero-engine Fault Diagnosis[J]. Journal of Aerospace Power, 2001, 16(1): 80-82.
3. YANG Jian-guo, SUN Yang, ZHENG Yan. Fault Diagnosis of Turboengine Based on Wavelet and Fuzzy Neural Network[J]. Journal of Propulsion Technology, 2001, 22(2): 114-117.
4. ZHU Jia-yuan, DENG Zhen-ting, ZHANG Heng-xi, et al. Aeroengine Fault Diagnosis Based on Self-Organizing Topology Maps[J]. Journal of Aerospace Power, 2002, 17(5): 533-537.
5. Simon Haykin. Neural Networks: A Comprehensive Foundation, (Second Edition)[M]. Beijing: China Machine Press, 2004.
6. YANG Yun, ZHU Jia-yuan, ZHANG Heng-xi. Electronic Equipment Systems Intelligent Fault Diagnosis Based on New Machine Learning Approach[J]. Computer Engineering and Applications, 2003, 22: 210-213.
7. Chiang Leo H, Kotanchek Mark E, Kordon Arthur K. Fault Diagnosis Based on Fisher Discriminant Analysis and Support Vector Machines[J]. Computers and Chemical Engineering, 2004, 28(8): 1389-1401.
8. Samanta B, Al-Balushi K R, Al-Araimi S A. Artificial Neural Networks and Support Vector Machines with Genetic Algorithm for Bearing Fault Detection[J]. Engineering Applications of Artificial Intelligence, 2003, 16(7): 657-665.
9. Jack L B, Nandi A K. Support Vector Machines for Detection and Characterization of Rolling Element Bearing Faults[J]. Journal of Mechanical Engineering Science, 2001, 215(9): 1065-1074.
10. YANG Wei-hua. Aeroengine Modeling and Failure Diagnosis[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2000.