INTELLIGENT FAULT DIAGNOSIS USING SENSOR NETWORK

Haris M. Khalid, Rajamani Doraiswami, Lahouari Cheded

Abstract

An intelligent diagnostic scheme using sensor network for incipient faults is proposed using a holistic approach which integrates model-, fuzzy logic-, neural network- based schemes. In case the system is highly non-linear and there are enough training data available, a neural network based scheme is preferred; where the rules relating the input and output can be derived, a Fuzzy-logic approach is chosen; and where a model is available, a linearized model is employed. These three schemes are integrated sequentially ensuring thereby that critical information about the presence or absence of a fault is monitored in the shortest possible time, and the complete status regarding the fault is unfolded in time. The proposed scheme is evaluated extensively on simulated examples and on a physical system exemplified by a benchmarked laboratory-scale two-tank system to detect and isolate faults including sensor, actuator and leakage ones.

References

  1. S.X. Ding, “ Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools” SpringerVerlag 2008.
  2. Silvio Simani, Cesare Fantuzzi and Ronald J Patton, “Model-based Fault Diagnosis using Identification Technique”, Advances in Industrial Control, Springer Verlag, 2003.
  3. Patton, R.J. Paul M. Frank, and Robert N. Clark, “Issues in Fault Diagnosis for Dynamic Systems”, SpringerVarlag, 2000.
  4. Chen, J. and Patton, “Robust Model-based Fault Diagnosis for Dynamic Systems”, Kluwer Academic Publishers, 1999.
  5. Janos J. Gertler, “Fault Detection and Diagnosis in Engineering Systems”, Marcel Dekker Inc, 1998.
  6. R. Isermann, “ Fault diagnosis of Machines via parameter estimation and knowledge processing”, Automatica, Vol. 29, No.4, pp. 825-825, 1993.
  7. R. Doraiswami, C.P.Diduch and Jiong Tang, “A Diagnostic Model For Identifying Parametric Faults”, IFAC World Congress, July 2008
  8. R.Doraiswami, “Modelling and identification for fault diagnosis: a new paradigm” Proceedings of the 10th International Conference on Control Applications, September, 2001.
  9. Marco Ferrente and Bruno Brunone, “Pipe system diagnosis and leak detection by unsteady-state tests”, Proceedings of the 7th World Congress on Intelligent Control and Automation, Chongking, China, June 25- 27, 2008.
  10. Zhang Sheng; Toshiyuki, A.; Shoji, H., “Gas leakage detection system using Kalman filter”, 7th International Conference on Signal Processing Proceedings. ICSP 7804, Volume 3, Aug31-Sept4. 2004, pp.:2533 - 2536
  11. Doraiswami, R.; Sevenson, M.; Diduch, C.P ,”Autonomous control systems: monitoring, diagnosis and tuning”, IEEE Transactions on Systems, Man and Cybernetics, Part A, Volume 26, Issue 5, Sept.1996 pp. 646 - 655.
  12. R.J. Patton, F.J. Uppal and C.J. Toribio, "Soft computing approaches to fault diagnosis for dynamic systems: A survey", in Proceedings of the IFAC Symposium SAFEPROCESS 2000, Budapest-Hungary; 2000.
  13. Astrom et.,al,” Control of Complex Systems”, SpringerVerlag, 2001.
  14. C. De Persis, “On the observability codistributions of a nonlinear system” Systems and Control Letters, Volume: 40, Issue: 5, August 15, 2000, pp. 297-304 H. Hammouri, P. Kabore, S.Othman, and J. Biston, J “A. Failure diagnosis and nonlinear observer. Application to a hydraulic process” Journal of The Franklin Institute, Volume: 339, Issue: 4-5, July - August, 2002, pp. 455-478.
  15. K.M. Kinnaert, “Robust fault detection based on observers for bilinear systems”, Automatica, Volume: 35, Issue: 11, November, 1999, pp. 1829-1842.
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Paper Citation


in Harvard Style

M. Khalid H., Doraiswami R. and Cheded L. (2009). INTELLIGENT FAULT DIAGNOSIS USING SENSOR NETWORK . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-99-9, pages 121-128. DOI: 10.5220/0002165201210128


in Bibtex Style

@conference{icinco09,
author={Haris M. Khalid and Rajamani Doraiswami and Lahouari Cheded},
title={INTELLIGENT FAULT DIAGNOSIS USING SENSOR NETWORK},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2009},
pages={121-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002165201210128},
isbn={978-989-8111-99-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - INTELLIGENT FAULT DIAGNOSIS USING SENSOR NETWORK
SN - 978-989-8111-99-9
AU - M. Khalid H.
AU - Doraiswami R.
AU - Cheded L.
PY - 2009
SP - 121
EP - 128
DO - 10.5220/0002165201210128