Machine learning method with compensation distance technique for gear fault detection

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2011, Pages 632-637

  Yang, Zhixin ^a   Zhong, Jianhua ^a   Wong, S F ^a  

^a UNIVERSITY OF MACAU   (Macao)

Author keywords

Artificial neural network; Distance evaluation technique; Feature extraction; Gearbox faults diagnosis; Support vector machines

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATIC DIAGNOSIS; COMPARATIVE EXPERIMENTS; DISTANCE EVALUATION TECHNIQUE; FAULT DIAGNOSIS METHOD; FAULTS DIAGNOSIS; GEAR FAULT DETECTION; GEAR FAULTS; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNOLOGY; POTENTIAL DEFECTS; POWER GENERATION INDUSTRIES; SUPPORT VECTOR; TIME DOMAIN; VIBRATION SIGNAL; WAVELET PACKET TRANSFORMS;

CONDITION MONITORING; FAULT DETECTION; FEATURE EXTRACTION; GEARS; INTELLIGENT CONTROL; LEARNING ALGORITHMS; MACHINERY; NEURAL NETWORKS; SUPPORT VECTOR MACHINES; VIBRATION ANALYSIS; WAVELET TRANSFORMS;

TIME DOMAIN ANALYSIS;

EID: 80052399320     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2011.5970591     Document Type: Conference Paper

References (17)

1. H. Zheng, Z. Li and X. Chen, "Gear fault diagnosis based on continuous wavelet transform." Mechanical Systems and Signal Processing (2002) 16(2-3), 447-457 (Pubitemid 40000351)
2. N. Baydar and A. Ball, "Detection of gear failures via vibration an acoustic signals using wavelet transform" Mechanical Systems and Signal Processing (2003) 17(4), 787-804.
3. Enayet B. Halim, "Time domain averaging across all scales: A novel method for detection of gearbox faults," Mechanical Systems and Signal Processing 22 (2008) 261-278.
4. Z.K. Peng: "Application of the wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography" Mechanical Systems and Signal Processing 18 (2004) 199-221.
5. C.K. Sung and H.M. Tai, C.W. Chen: "Locating defects of a gear system by the technique of wavelet transform," Mechanism and Machine Theory 35 (2000) 1169-1182.
6. Wilson Q. Wang, Fathy Ismail, "Assessment of gear damage monitoring techniques using vibration measurements," Mechanical Systems and Signal Processing (2001) 15(5), 905-922
7. W. J. Wang: "Wavelets for detecting mechanical faults with high sensitivity", Mechanical Systems and Signal Processing (2001) 15(4), 685-696.
8. Peng-Hsin Chiang, "An expert system for fault diagnosis in internal combustion engines using probability neural network," Expert Systems with Applications 34 (2008) 2704-2713
9. B.Samanta, "Artificial neural networks and genetic algorithms for gear fault detection," Mechanical Systems and Signal Processing 18 (2004) 1273-1282.
10. Jian-Da Wu*, Jian-Ji Chan, "Faulted gear identification of a rotating machinery based on wavelet transform and artificial neural network", Expert Systems with Applications 36 (2009) 8862-8875
11. Achmad Widodo and Bo-Suk Yang: "Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors" Mechanical Systems and Signal Processing 33 (2007) 241-250.
12. Bo-Suk Yang and Tian Han: "Fault diagnosis of Rotating Machinery Based on Multi-Class Support Vector Machines", Journal of Mechanical Science and Technology, (2005) Vol. 19 No.3, 846-859.
13. P.K.Kankar, Satish C, "Fault diagnosis of ball bearings using machine learning methods," Expert Systems with Application(2010).
14. B. Samanta: "Gear fault detection using artificial neural networks and support vector machines with genetic algorithms" Mechanical Systems and Signal Processing 18 (2004) 625-644.
15. Achmad Widodo, "Support vector machine in machine condition monitoring and'" Mechanical Systems and Signal Processing 21 (2007) 2560-2574.
16. Qiao Hu and Zhengjia He: "Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble"Mechanical Systems and Signal Processing 21 (2007) 688-705.
17. Yaguo Lei, "New clustering algorithm-based fault diagnosis using compensation distance evaluation technique," Mechanical Systems and Signal Processing 22 (2008) 419-435.