A systems approach to fault detection and diagnosis for condition-based maintenance

IET Seminar Digest

Volumn 2006, Issue 11575, 2006, Pages 141-148

  Silmon Monerri, J ^a   Roberts, J ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITION-BASED MAINTENANCE; SINGLE-THROW MECHANICAL EQUIPMENT;

ACTUATORS; CONDITION MONITORING; RAILROAD TRANSPORTATION; SYSTEMS ENGINEERING;

FAILURE ANALYSIS;

EID: 34047133315     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ic:20060059     Document Type: Conference Paper

References (16)

1. P. Ballé and D. Füssel, "Closed-loop fault diagnosis based on a nonlinear process model and automatic fuzzy rule generation," Engineering Applica tions of Artificial Intelligence, volume 13, pp. 695-704, 2000.
2. A. Bredebusch, J. Lunze, and H. Richter, "A Petri-net representation of the qualitative behaviour of a dynamical continuous-One system," in "IEE Second International Conference on Intelligent Systems Engineering," pp. 223-228, 1994.
3. J. M. F. Calado, J. M. G. Sá da Costa, M. Bartyś, and J. Korbicz, "FDI approach to the DAMADICS benchmark problem based on qualitative reasoning coupled with fuzzy neural networks," Control Engineering Practice, volume 14, pp. 684-698, 2006.
4. J. T.-Y. Cheung and G. Stephanopoulos, "Representation of process trends - part I: A formal representation framework," Computers and Chemical Engineering, volume 14, pp. 495-510, 1990.
5. A. Eronen and A. Klapuri, "Musical instrument recognition using cepstral coefficients and temporal features," in "IEEE International Conference on Acuoustics, Speech and Signal Processing," volume 2, pp. 753-756, 2000.
6. International Technical Committee, "Operational availability of railway control systems," Technical Report 2, Institution of Railway Signal Engineers, 2006. URL http://www.irse.org
7. J. Jin and J. Shi, "Automatic feature extraction of waveform signals for in-process diagnostic performance improvement," Journal of Intelligent Manufacturing, volume 12, pp. 257-268, 2001.
8. N. Lehrasab and S. Fararooy, "Formal definition of single throw mechanical equipment for fault diagnosis," IEE Electronics Letters, volume 34, pp. 2231-2232, 1998.
9. J. Lunze, "Qualitative modelling of continuous-varable systems by means of non-deterministic automata," Intelligent Systems Engineering, volume 1, pp. 22-30, 1992.
10. K. Mori, N. Kasashima, T. Yoshioka, and Y. Ueno, "Prediction of spalling on a ball bearing by applying the discrete wavelet transform to vibration signals," Wear, volume 195, pp. 162-168, 1996.
11. S. Pittner and S. V. Kamarthi, "Feature extraction from wavelet coefficients for pattern recognition tasks," IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 21, pp. 83-88, 1999.
12. R. Rengaswamy and V. Venkatasubramanian, "A syntactic pattern-recognition approach for process monitoring and fault diagnosis," Engineering Applications of Artificial Intelligence, volume 8, pp. 33-51, 1995.
13. C. Roberts, H. P. Dassanayake, N. Lehrasab, and C. J. Goodman, "Distributed quantitative and qualitative fault diagnosis: railway junction case study," Control Engineering Practice, volume 10, pp. 419-429, 2002.
14. E. Rocha Loures and J.-C. Pascal, "Detection and diagnosis of hybrid dynamic systems based on time fuzzy petri nets," in "IEEE International Conference on Systems, Man and Cybernetics," volume 2, pp. 1825-1831, 2004.
15. A. T. Vemuri, M. M. Polykarpou, and S. A. Diakourtis, "Neural network based fault detection in robotic manipulators," IEEE Transactions on Robotics and Automation, volume 14, 1998.
16. J. M. Vinson and L. H. Ungar, "Dynamic process monitoring and fault diagnosis with qualitative models," IEEE Transactions on Systems, Man and Cybernetics, volume 25, pp. 181-189, 1995.