A comparative study of three artificial neural networks for the detection and classification of gear faults

International Journal of General Systems

Volumn 34, Issue 3, 2005, Pages 261-277

  Abu Mahfouz, I A ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Clustering; Diagnosis; Functional link network; Learning vector quantization; Neural network; Pattern recognition

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; GEARS; MATHEMATICAL MODELS; PATTERN RECOGNITION; VECTOR QUANTIZATION;

CLUSTERING; FUNCTIONAL LINK NETWORK; LEARNING VECTOR QUANTIZATION; VIBRATION SIGNALS;

NEURAL NETWORKS;

EID: 27344460283     PISSN: 03081079     EISSN: 15635104     Source Type: Journal    
DOI: 10.1080/03081070500065726     Document Type: Review

References (21)

1. I.A. Abu-Mahfouz, "Condition monitoring of a gear box using vibration and acoustic emission based artificial neural network", Proc. of the SAE Noise and Vibration Conference and Exposition, Traverse City, Michigan, 2001.
2. K. Bart, Neural Networks and Fuzzy Systems, Englewood Cliffs, NJ: Prentice-Hall, Inc., 1992.
3. J.T. Corner, R.D. Martin and L.E. Atlas, "Recurrent neural networks and robust time series prediction", IEEE Trans. Neural Networks, 5(2), pp. 240-254, 1994.
4. W.E. Faller and S.J. Schereck, "Real-time prediction of unsteady aerodyanmics: applications for aircraft control and manoeuvrability enhancement", IEEE Trans. Neural Networks, 6, pp. 1461-1468, 1995.
5. B.D. Forrester, "Time-frequency analysis in machine fault detection", in Time-Frequency Signal Analysis, B. Boashash, Ed., New York: John Wiley, 1992, pp. 406-423.
6. J.A. Freeman and D.M. Skapura, Neural Networks: Algorithms, Applications, and Programming Techniques, Reading, MA: Addison-Wesley, 1991.
7. C.L. James and J.D. Limmer, "Model-based condition index for tracking gear wear and fatigue damage", Wear, 241, pp. 26-32, 2000.
8. T. Kohonen, "Learning vector quantization for pattern recognition", Technical Report TKK-F-A601, Helsinki University of Technology, 1986.
9. S.T. Lin and P.D. McFadden, "Gear vibration analysis by B-spline wavelet-based linear wavelet transform", Mech. Syst. Signal Process., 11(4), pp. 603-609, 1997.
10. C.G. Looney, Pattern Recognition Using Neural Networks, Theory and Algorithms for Engineers and Scientists, New York: Oxford University Press, 1997.
11. MATALB, Signal Processing Toolbox, User's Guide, Natick, MA: The Math Works, Inc., 1998.
12. B. Naim and B. Andrew, "A comparative study of acoustic and vibration signals in detection of gear failure using Wigner-Ville distribution", Mech. Syst. Signal Process., 15(6), pp. 1091-1107, 2001.
13. Y.H. Pao, Adaptive Pattern Recognition and Neural Network, Reading, MA: Addison-Wesley, 1989.
14. R. Schalkoff, Artificial Neural Networks, NewYork: McGraw-Hill Inc., 1997.
15. R. Trippi and E. Turban, Neural Networks in Finance and Investing, Chicago: Irwin Professional Publishing, 1996.
16. P.W. Tse and D.P. Atherton, "Prediction of machine deterioration using vibration based fault trends and recurrent neural networks", ASME Trans. J. Vibration Acoustics, 121, pp. 355-362, 1999.
17. W.J. Wang and P.D. McFadden, "Early detection of gear failure by vibration analysis - 1. Calculation of the time-frequency distribution", Mech. Syst. Signal Process., 7(3), pp. 193-203, 1993.
18. W.J. Wang and P.D. McFadden, "Application of wavelets to gearbox vibration signals for fault detection", J. Sound Vibration, 192(5), pp. 927-939, 1996.
19. W.J. Williams and E.J. Zalubas, "Helicopter transmission fault detection via time-frequency, scale, and spectral methods", Mech. Syst. Signal Process., 14(4), pp. 545-559, 2000.
20. Q.W. Wilson, I. Fathy and M.G. Farid, "Assessment of gear damage monitoring techniques using vibration measurements", Mech. Syst. Signal Process., 15(5), pp. 905-922, 2001.
21. T. Ziemke, M. Boden and L. Niklasson, "Oil spill detection: a case study using recurrent neural networks", in Neural Networks Analysis, Architectures and Applications, A. Browne, Ed., Philadelphia: Institute of Physics Publishing, Ltd., 1997, pp. 224-250.