A new fault diagnosis method of rotating machinery

Shock and Vibration

Volumn 15, Issue 6, 2008, Pages 585-598

  Chen, Chih Hao ^a   Shyu, Rong Juin ^a   Ma, Chih Kao ^b  

^a NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

^b NAN KAI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Box counting dimension; Fault diagnosis; Fractal; Radial basis function neural network; Rotating machinery; Wavelet packets

Indexed keywords

ALIGNMENT; BEARINGS (MACHINE PARTS); FAILURE ANALYSIS; FRACTAL DIMENSION; FRACTALS; FREQUENCY BANDS; FUNCTIONS; MACHINERY; RADIAL BASIS FUNCTION NETWORKS; ROTATING MACHINERY; SPOT WELDING;

BOX-COUNTING DIMENSION; FAILURE CHARACTERISTICS; FAULT DIAGNOSIS METHOD; MISALIGNMENT CONDITIONS; NON-STATIONARY VIBRATION; RADIAL BASIS FUNCTION NEURAL NETWORKS; WAVELET PACKET; WAVELET PACKETS TRANSFORM;

FAULT DETECTION;

EID: 55349147996     PISSN: 10709622     EISSN: None     Source Type: Journal    
DOI: 10.1155/2008/203621     Document Type: Article

References (21)

1. R.H. Lyon, Machinery Noise and Diagnostics, Massachusetts Institute of Technology, Butterworth Publishers, USA, 1987.
2. N. Tandon, and A. Choudhury, A Review of Vibration and Acoustic Measurement Methods for The Detection of Defects in Rolling Element Bearings, Tribology International 32(8) (1999), 469-480.
3. D. Boulahbal, M.F. Golnaraghi, F. Ismail, Amplitude and Phase Wavelet Maps for the Detection of Cracks in Geared Systems, International Journal of Mechanical Systems and Signal Processing 13(3) (1999), 423-436.
4. Z. Geng and L. Qu, Vibrational Diagnosis of Machine Parts Using the Wavelet Packet Technique, British Journal of Non-Destructive Testing 36(1) (1994), 11-15.
5. S. Lu, W. Chen and M. Li, Fault Pattern Recognition of Rolling Bearing Based on Wavelet Packet and Support Vector Machine, The Sixth World Congress on Intelligent Control and Automation 2 (2006), 5516-5520.
6. B. Liu, Selection of Wavelet Packet Basis for Rotating Machinery Fault Diagnosis, Journal of Sound and Vibration 284 (2005), 567-582.
7. H. Zhang, S.J. Wang and Q.S. Zhang, The Research on Rolling Element Bearing Fault Diagnosis Based on Wavelet Packets Transform, Industrial Electronics Society, The 29th Annual Conference of the IEEE 2 (2003), 1745-1749.
8. S. Mallat, A Wavelet Tour of Signal Processing, Academic Press, San Diego, CA, USA, 1998.
9. W.J. Wang, Wavelets for Detecting Mechanical Faults with High Sensitivity, Mechanical Systems and Signal Processing 15(4) (2001), 685-696.
10. J.L. McCauley, Chaos, dynamics, and fractals: An Algorithmic Approach to Deterministic Chaos, Cambridge Nonlinear Science Series 2, USA, 1993.
11. B.B. Mandelbrot, Fractals: from, chance and dimension, Freeman, San Francisco, CA, New York, 1977.
12. B.B. Mandelbrot, The Fractal Geometry of Nature, Freeman, San Francisco, CA, New York, 1983.
13. C. Huang and H.B. Shi, Study on Chemical Process Faults Diagnosis Based on Fractal Geometry, Proceedings of the 5th World Congress on Intelligent Control and Automation, Hangzhou, China, 2, 2004, 1658-1662.
14. [ 14] D.C. Popescu, A. Dimca and H. Yan, A Nonlinear Model for Fractal Image Coding, IEEE Transactions on Image Processing 6(3) (1997), 373-382.
15. A.M. Arbib, The Handbook of Brain Theory and Neural Networks, Second Edition, Massachusetts MIT Press, 2002.
16. M. Catelani and A. Fort, Fault diagnosis of electronic analog circuits using a radial basis function network classifier, Measurement 28 (2000), 147-158.
17. S. Chen, C.F.N. Cowan and P.M. Grant, Orthogonal least squares learning algorithm for radial basis function networks, IEEE Trans on Bio Eng 2 (1991), 302-309.
18. W. Lai, P.W. Tse, G. Zhang and T. Shi, Classification of gear faults using cumulants and the radial basis function network, Mechanical Systems and Signal Processing 18(2) (2004), 381-389.
19. C. Fan, Z. Jin, J. Zhang and W. Tian, Application of Multisensor Data Fusion Based on RBF Neural Networks for Fault Diagnosis of SAMs, Seventh International Conference on Control, Automation, Robotics and Vision 3 (2002), 1557-1562.
20. S.S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed., Prentice Hall, Upper Saddle River, NJ, USA, 1999.
21. G. Betta, C. Liguori, A. Paolillo and A. Pietrosanto, A DSP-Based FFT-Anlyzer for the fault diagnosis of rotating machine based on vibration analysis, IEEE Transactions on Instrumentation and Measurement 51(6) 1316-1322.