An aeroengine fault detection method based on kernel principal component analysis

Tuijin Jishu/Journal of Propulsion Technology

Volumn 29, Issue 1, 2008, Pages 79-83

  Hu, Jin Hai ^a   Xie, Shou Sheng ^a   Chen, Wei ^a   Hou, Sheng Li ^a   Cai, Kai Long ^a  

^a AIR FORCE ENGINEERING UNIVERSITY   (China)

Author keywords

Aeroengine; Fault detection; Kernel principal component analysis; Performance monitoring; Principal component analysis

Indexed keywords

FAULT DETECTION; PRINCIPAL COMPONENT ANALYSIS; TURBOFAN ENGINES;

AEROENGINE; KERNEL FUNCTION; NONLINEAR FEATURE; PERFORMANCE MONITORING;

AIRCRAFT ENGINES;

EID: 41649118514     PISSN: 10014055     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. HU Jin-hai, XIE Shou-sheng. Performance monitoring and fault diagnosis of aeroengine based genetic algorithmi [J]. Journal of Propulsion Technology, 2003, 24 (3): 198-200.
2. Dong D, Mcavoy T J. Nonlinear principal component analysis based on principal curves and neural networks [J]. Computers and Chemical Engineering, 1996, 20 (1): 65-78.
3. Scholkopf B, Smola A, Muller K R. Kernel principal component analysis [M]. In: Scholkopf B, Burges C, Smola A, eds. Advances in kernel methods-support vector learning, Cambridge MA: MIT Press 1999: 327-352.
4. Baudat G, Anouar F. Kernel-based methods and function approximation [A]. International Joint Conference on Neural Networks (IJCNN01) [C]. 2001, 1244-1249.
5. LEE J M, YOO C K, CHOI S W, et al. Nonlinear process monitoring using kernel principal component analysis [J]. Chemical Engineering Science, 2004, 59 (1): 223-234.