Rotor fault diagnosis method based on kernel function approximation

Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering

Volumn 42, Issue 9, 2006, Pages 76-82

  Li, Weihua ^a   Shi, Tielin ^b   Yang, Shuzi ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Fault classification; Feature selection; Kernel function; Rotor

Indexed keywords

FAULT CLASSIFICATION; FAULT DIAGNOSIS; FEATURE SELECTION; KERNEL FUNCTION APPROXIMATION (KFA); ROTOR FAULTS; ROTOR RUB; ROTOR UNBALANCE;

CRACKS; DIAGNOSIS; ROTORS; VIBRATIONS (MECHANICAL);

FAILURE (MECHANICAL);

EID: 33751118280     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/JME.2006.09.076     Document Type: Article

References (6)

1. SCHÖLKOPF B, SMOLA A, MÜLLER K R. Nonlinear component analysis as a kernel eigenvalue problem [J]. Neural Computation, 1998, 10: 1299-1319.
2. MIKA S, RÄTSCH G, WESTON J, et al. Fisher discriminant analysis with kernels [C]//Neural Networks for Signal Processing IX, 1999: 41-48.
3. MIKA S, SMOLA A, SCHÖLKOPF B. An improved training algorithm for kernel fisher discriminants [C]//Proceedings AISTATS, Morgan Kaufmann, 2001, 13: 98-104.
4. BAUDAT G, ANOUAR F. Kernel-based methods and function approximation [C]//International Joint Conference on Neural Networks (IJCNN 2001), Washington DC, 2001: 1244-1249.