Artificial neural network based fault diagnostics of rotating machinery using wavelet transforms as a preprocessor

Mechanical Systems and Signal Processing

Volumn 11, Issue 5, 1997, Pages 751-765

  Paya, B A ^a   Esat, I I ^a   Badi, M N M ^b  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FAILURE ANALYSIS; MACHINE VIBRATIONS; NEURAL NETWORKS; TIME DOMAIN ANALYSIS; VIBRATION MEASUREMENT; WAVELET TRANSFORMS;

CONDITION MONITORING; MULTIPLE FAULTS; SINGLE FAULTS;

ROTATING MACHINERY;

EID: 0031233479     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1006/mssp.1997.0090     Document Type: Article

References (26)

1. P. D. MCFADDEN 1987 Mechanical Systems and Signal Processing 1, 173-183. Examination of a technique for the analysis early detection of failure in gears by signal processing of the time domain average of the meshing vibration.
2. W. J. STASZEWSKI and G. R. TOMLINSON 1993 COMEDEM-93, Bristol, England, 21-23 July. Application of the moving window procedure in a spur gear.
3. M. N. M. BADI and D. GAUSTAMACCHIA 1994 Second Bi-annual Joint Conference On Engineering System Design and Analysis (ESDA), London, July 3-7. Alternative methods of gear faults.
4. R. B. RANDALL 1982 Bruel & Kjaer Application Note, 233-280. Cepstrum analysis and gearbox fault diagnosis.
5. P. D. MCFADDEN and W. J. WANG 1990 Technical Report, Report No OUEL 1859/90, Department of Engineering Science, University of Oxford. Time-frequency domain analysis of vibration signals for machinery diagnostics: (1) introduction to wigner-ville distribution.
6. C. K. CHUI 1992 An Introduction to Wavelets. San Diego: Academic Press.
7. I. DAUBECHIE 1991 IEEE Transactions on Information Theory 36, 961-1005. The Wavelet transform, time-frequency localisation and signal processing.
8. P. D. MCFADDEN 1994 Proceedings of International Conference of Condition Monitoring, University College of Swansea, Wales. Application of the wavelet transform to early detection of gear failure by vibration analysis.
9. D. E. NEWLAND 1993 An Introduction to Random Vibration, Spectral and Wavelet Analysis, 3rd edn. New York: Longman, Harlow and John Wiley.
10. B. PAYA, I. ESAT and M. N. M. BADI 1996 Energy Technology Conference & Exhibition (ETCE) 96, Symposium of Structural Dynamics/Vibration/Buckling, 167-174, ASME, Houston, U.S.A. Fault classification in gearboxes using neural networks.
11. O. PETRILLI, B. PAYA, I. ESAT and M. N. M. BADI 1995 JN-American Society of Mechanical Engineers, PD Publication, PY 70, 97-101, ASME, New York, U.S.A. Neural network based fault detection using different signal processing techniques as pre-processor.
12. W. J. STASZEWSKI and G. R. TOMLINSON 1994 Mechanical Systems and Signal Processing 8, 289-307. Application of the wavelet transform to fault detection in a spur gear.
13. K. WORDEN and G. R. TOMLINSON 1992 Mechanical Systems and Signal Processing 8, 319-356. Modeling and classification of non-linear systems using neural networks - I. Simulation.
14. K. WORDEN, G. R. TOMLINSON, W. K. LIM and G. SAUER 1992 Mechanical Systems and Signal Processing 8, 395-419. Modeling and classification of non-linear systems using neural networks - II. A preliminary experiment.
15. K. WORDEN, A. D. BALL and G. R. TOMLINSON 1993 Smart Material Structure 2, 189-200. Fault location in a framework structure using neural networks.
16. J. KUDVA, N. MUNIR and P. W. TAN 1992 Smart Material Structure 1, 108-112. Damage detection in smart structures using neural networks and finite-element analysis.
17. A. G. PARLOS, J. MUTHASUSAMI and A. F. ATIYA 1993 Nuclear Technology 105, 145-161. Incipient fault detection and identification process systems using accelerated neural network learning.
18. W. J. STASZEWSKI and K. WORDEN 1993 World Congress on Neural Networks, Portland Oregon, 11-14 July. Classification of faults in spur gears.
19. K. WORDEN, W. J. STASZEWSKI and A. G. STARR 1994 COMODEM-94, New Delhi, India, 26-29 September. Gear fault detection and severity classification using neural networks.
20. 2 Institute, University of Texas at Austin, USA, December 7-9, 1995. Structural optimisation of artificial neural networks using genetic algorithm with new encoding scheme.
21. B. KOTHARI, B. PAYA and I. I. ESAT 1996 Third Bi-annual Joint Conference On Engineering System Design and Analysis (ESDA), ASME, 1-4 July 1996, Montpellier, France. Machinery fault diagnostics using direct encoding graph syntax for optimising artificial neural network structure.
22. E. J. W. BOERS and H. KUIPER 1992 Biological Metaphors and the Design of Artificial Neural Networks. M.Sc. Thesis, Leiden University, Holland.
23. F. GRUAU 1994 Neural Network Synthesis Using Cellular Encoding and the Genetic Algorithm. Ph.D. Thesis, l'Ecole Normale Superieure de Lyon, France.
24. D. E. RUMELHART, J. L. MCCLELLAND and R. J. WILLIAMS 1986 Learning Internal Representations by Error Propagation. Parallel Distributed Processing: Volume 1. Cambridge, MA: MIT Press.
25. M. N. M. BADI and L. J. DODD 1995 COMODEM-95, Canada. Single and multiple fault detection along a model drive-line.
26. M. N. M. BADI, D. J. DELL and A. E. FELLOWS 1992 Profitable Condition Monitoring Confs., Stratford-upon-Avon, U.K. Alternative methods of diagnosing gear box faults.