Study on incipient fault diagnosis for rolling bearings based on wavelet and neural networks

Proceedings - 4th International Conference on Natural Computation, ICNC 2008

Volumn 4, Issue , 2008, Pages 262-265

  Li, Yuzhong ^a  

^a GUANGDONG POLYTECHNIC NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); DIESEL ENGINES; FEATURE EXTRACTION; VEGETATION;

ADAPTIVE WAVELETS; ENERGY FEATURES; FAULT MODES; FEATURE VECTORS; HIGH FREQUENCIES; INCIPIENT FAULT DIAGNOSIS; PRE-REQUISITES; ROLLING BEARINGS; SAFE PRODUCTIONS; SUB BANDS; VIBRATION SIGNALS; WAVELET NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 57649121093     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2008.716     Document Type: Conference Paper

References (9)

1. Lili Wang, Chao Wang, Zhengmin Cai, "The diagnosis method for the rolling bearings tiny fault based on wavelet", Chinese Journal of Applied Mechanics, Vol 16, No.2, pp. 95-99, Feb. 1999.
2. Yu Yang, Deijie Yu, Junsheng Cheng, "Roller Bearing Fault Diagnosis Method Based on EMD and Neural Network", Journal of Vibration and Shock, Vol 24, No.1, pp. 85-88, Jan. 2005.
3. Ying Tang, Qiao Sun, "Study on vibration signal singularity analysis by wavelet for rolling element bearing defect detection", Journal of Vibration Engineering, Vol 15, No.1, pp. 111-113, Jan. 2002.
4. Qin Kai, Jin Chen, Ming Jiang, et al, "A new method of the fault feature extraction for rolling bearing-spectral-correlation density function". Journal of Vibration and Shock, Vol 20, No.1, pp. 34-37, Jan. 2001.
5. Junfeng Pei, Qijun Yang, "The technology of machinery fault diagnosis", The University of Petroleum Press, Dongying, 1997.
6. Wenping Yang, Guoding Chen, Boqiang Shi, "Denoising Vibration Signal of Complex Mechanism Based on Wavelet Theory", Journal of University of Science and Technology Beijing, Vol 24, No.4, pp. 455-458, Apr.2002.
7. Bingda Zhang, Qing Liu, Changsheng Liu, "Extraction of Partial Discharge Signal and Noise Elimination by Selecting Optimal Wavelet", High Voltage Engineering, Vol 29, No.4, pp. 14-16, Apr. 2003.
8. Yangzhong JU, Guiping Yan, Jianbin Chen, et al., "Prediction of Structural damage by the Wavelet Neural Network", Engineering Mechanics, Vol 20, No.6, pp. 176-181, Jun. 2003.
9. Huangqing Li, Baiwu Wan, "A Product Quality Model for Large-scale Hot Rolling Mill Based on High-Dimension Input Wavelet Neural Network", Systems Engineering, Vol 20, No.5, pp. 55-58, May 2002.