Broken Bar Fault Detection based on Set Membership Identification for Three Phase Induction Motors

Mohammed Obaid Mustafa, George Nikolakopoulos, Thomas Gustafsson, Basil M. Saied

Abstract

This article presents a fault detection scheme for the case of a broken bar occurrence in a three phase induction motor. The proposed scheme relies on Set Membership Identification (SMI) and novel proposed boundary violation rules for the identified motor’s parameters. The model of the three phase induction motor is being transformed into an equivalent two phase model, described in the q−d space, for both the normal and the faulty case. By the utilization of the SMI technique, the simplified equivalent model of the induction motor is being identified during the steady state operation (non–fault case), while at the same time safety bounds for the identified variables are being provided, based on an a priori defined corrupting additive noise. On the event of a fault, specific fault detection conditions are being proposed that can capture the specific type of a broken bar fault. The proposed conditions depend on: a) abnormal parameter jumps, and b) rapid changes in the volume of the bounding uncertainty, which is being formulated either by ellipsoids or orthotopes. Detailed analysis of the proposed approach as also extended simulation results are being presented that prove the efficiency of the proposed scheme.

References

  1. Bachi, S., Tnani, S., Trigeassou, J., and Champenois, G. (2006). Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines. IEEE Transactions on Industrial Electronics, 53(3):963-973.
  2. Bellini, A., Filippetti, F., Franceschini, G., Tassoni, C., and Kliman, G. (2001). Quantitative evaluation of induction motor broken bars by means of electrical signature analysis. IEEE Transactions on Industry Application, 37(5):1248-1255.
  3. Chen, S. and Zivanovic, R. (2009). Modelling and simulation of stator and rotor fault conditions in induction machines for testing fault diagnostic techniques. European Transactions On Electrical Power, 20:611 -629.
  4. Deller, J., Nayeri, M., and Odeh, S. (1993). Least-Square Identification with Error Bounds for Real-Time Signal Processing and Control. Proceedings of the IEEE, 81(6):815-849.
  5. Deller, J. R. (1989). Set membership identification in digital signal processing. IEEE ASSP Magazine, 6(4):4-20.
  6. Guastafsson, F. (Sep.2001). Adaptive Filtering and Change Detection.
  7. Kumar, S., Prakash, J., and Kumar, S. S. (2011). Detection of broken rotor bars in induction motor using derivative free kalman filters. International Conference on Process Automation, Control and Computing (PACC), 2011, pages 1 - 7.
  8. Lee, R., Pillay, P., and Harley, R. (1985). Dq reference frames for the simulation of induction motors. Electric Power Systems Research, 8:15 -26.
  9. Ljung, L. (1987). System Identification Theory For The User. Prentice-Hall, Englewood Cliffs, NJ.
  10. Nandi, S. and Toliyat, H. (2005). Condition monitoring and fault diagnosis of electrical machines-a review. IEEE Transactions on Energy Conversion, 20(4):719-729.
  11. Sandhu, K. and Pahwa, V. (2009). Sumilation study of three phase induction motor with variation in moment of inertia. ARPN Journal of Enginering and Apllied Sciences, 4(5):72-77.
  12. Santos, P. and Lubiny, T. (2010). A simplified induction machine model to study rotor broken bar effects and for detection. European Transactions On Electrical Power, 20:611.
  13. Vas, P. (1992). Electrical Machines and Drives.
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Paper Citation


in Harvard Style

Obaid Mustafa M., Nikolakopoulos G., Gustafsson T. and M. Saied B. (2012). Broken Bar Fault Detection based on Set Membership Identification for Three Phase Induction Motors . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-21-1, pages 224-231. DOI: 10.5220/0004040202240231


in Bibtex Style

@conference{icinco12,
author={Mohammed Obaid Mustafa and George Nikolakopoulos and Thomas Gustafsson and Basil M. Saied},
title={Broken Bar Fault Detection based on Set Membership Identification for Three Phase Induction Motors},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2012},
pages={224-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004040202240231},
isbn={978-989-8565-21-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Broken Bar Fault Detection based on Set Membership Identification for Three Phase Induction Motors
SN - 978-989-8565-21-1
AU - Obaid Mustafa M.
AU - Nikolakopoulos G.
AU - Gustafsson T.
AU - M. Saied B.
PY - 2012
SP - 224
EP - 231
DO - 10.5220/0004040202240231