Fault detection in an induction motor drive based on the behavior of the power electronics devices

Authors

  • Jesús Aguayo Alquicira Centro nacional de investigación y desarrollo tecnológico (cenidet)
  • Abraham Claudio Sánchez Centro nacional de investigación y desarrollo tecnológico (cenidet)
  • Luis Gerardo Vela-Valdés Centro nacional de investigación y desarrollo tecnológico (cenidet)

DOI:

https://doi.org/10.17533/udea.redin.16691

Keywords:

Fault detection, fault diagnosis, drive, induction motor

Abstract

In this work the fault diagnosis technique is applied to the one phase induction motor drive system. To carry out the fault detection, the voltage and current signals obtained directly from the converter behavior (residues) are used. The faults of interest to analyze can happen when control signals of the switches that compose the converter do vary. These faults are designated as lost of commutation sequence.

|Abstract
= 94 veces | PDF (ESPAÑOL (ESPAÑA))
= 46 veces|

Downloads

Download data is not yet available.

Author Biographies

Jesús Aguayo Alquicira, Centro nacional de investigación y desarrollo tecnológico (cenidet)

Departamento de electrónica

Abraham Claudio Sánchez, Centro nacional de investigación y desarrollo tecnológico (cenidet)

Departamento de electrónica

Luis Gerardo Vela-Valdés, Centro nacional de investigación y desarrollo tecnológico (cenidet)

Departamento de electrónica

References

M. Cerrada, J. Cardillo, J. Aguilar, R.Faneite, “AgentBased Maintenance Management System for The Distributed Fault Tolerance”. Proceedings of IFAC SAFEPROCESS 2006. Beijing-China. Septiembre 2006. pp 997-1002. DOI: https://doi.org/10.1016/B978-008044485-7/50158-5

F. Pedrayes, C.H. Rojas, M.F. Cabanas, M.G. Melero, G.A. Orcajo, J.M. Cano, “Application of a Dynamic Model based on a Network of Magnetically Coupled Reluctances to Rotor Fault Diagnosis in Induction Motors”, IEEE International Symposium on Diagnostics for Electric Machines Power Electronics and Drives (SDEMPED 2007). Cracow (Poland). Septiembre 2007. pp. 241-246. DOI: https://doi.org/10.1109/DEMPED.2007.4393102

E. Alcorta García, P. M. Frank, “Fault Detection and Isolation in nonlinear systems”, European Control Conference ECC’99. Karlsruhe. Germany. 1999. pp. 320-325. DOI: https://doi.org/10.23919/ECC.1999.7099372

M. Y. Chow. “Guest Editorial Special Section on Motor Fault Detection and Diagnosis”. IEEE trans. on Indust. Electronics. Vol. 47. 2000 pp. 982-983. DOI: https://doi.org/10.1109/TIE.2000.873205

R. Peuget, S. Courtine, J. P. Rognon. “Fault Detection and Isolation on a PWM Inverter by Knowledge-Based Model”. IEEE Transactions on Industry Applications. Vol. 34. 1998. pp. 1318-1325. DOI: https://doi.org/10.1109/28.739017

R. Isermann. “Diagnosis methods for electromechanical components”. IEEE Industrial Electronics Society Newsletter. 2000. pp. 5-8.

J. Chen, R. J. Patton “Robust model-based Fault diagnosis for dynamics systems”. Ed. Kluwer Academic Publishers. London. U.K. 1999. pp. 50-83.

A. Wolfram, R. Isermann. “On-Line Fault Detection of Inverter-Fed Induction Motor Using Advanced Signal Processing Techniques”. Symposium on Fault Detection Supervision and Safety for the Technical Processes, IFAC safeprocess’2000. Budapest. pp.1151- 1156. DOI: https://doi.org/10.1016/S1474-6670(17)37512-2

S. Petropol, S. Lesecq, A. Barraud “Fault Detection Using On-Line Wavelet Analysis: Application Induction Motor”. Symposium on Fault Detection Supervision and Safety for the Technical Processes, IFAC safeprocess’2000. Budapest. pp. 1157-1162 DOI: https://doi.org/10.1016/S1474-6670(17)37513-4

R. Isermann. Model-based fault-detection and diagnosis- Status and applications. Ed. Elsevier. Amsterdam. Vol. 29. 2005. pp. 71-85. DOI: https://doi.org/10.1016/j.arcontrol.2004.12.002

M. Blodt, P. Granjon, B. Raison, G. Rostaing. “Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring”. IEEE Transactions on Industrial Electronics. Vol. 55. 2008. pp. 1813- 1822. DOI: https://doi.org/10.1109/TIE.2008.917108

K. Kyusung, A. G. Parlos. “Induction motor fault diagnosis based on neuropredictors and wavelet signal processing”. IEEE/ASME Transactions on Mechatronics. Vol. 7. 2002. pp. 201-219. DOI: https://doi.org/10.1109/TMECH.2002.1011258

A. M. S. Mendez, A. J. M. Cardoso. “Fault Diagnosis in a Rectifier-Inverter Systems Used in Variable Speed AC Drives, by Park’s Vector Approach”. IEEE SDEMPED’99. pp. 99-103.

F. Filippetti, G. Franceschini, C. Toscri, P. Vas. “Recent Developments of Induction Motor Drives Fault Diagnosis Using AI Techniques”. IEEE Trans. on Ind. Applications. Vol. 47. 2000. pp. 994-1004. DOI: https://doi.org/10.1109/41.873207

N. Jerance, B. Raison, O. Sename. “Observer Based Fault Detection and Isolation in Induction Machine Drive”. Symposium on Fault Detection Supervision and Safety for the Technical Processes, IFAC safeprocess’2000, Budapest. pp. 955-960. DOI: https://doi.org/10.1016/S1474-6670(17)37481-5

P. E. Dumont, A. Aitouche, M. Bayart. “Fault Detection of Actuator Faults for Electric Vehicle”. IEEE International Conference on Control Applications. 2007. pp. 1067-1072. DOI: https://doi.org/10.1109/CCA.2007.4389375

M. H. Rashid. “Power Electronics Handbook”. Ed. Academic Press. San Diego. California. USA. 2001. pp. 225-270.

J. Gertler. “Fault detection and diagnosis in engineering systems”. Ed. Marcel Dekker inc. New York. USA. 1998. pp. 152-182.

Published

2013-09-18

How to Cite

Aguayo Alquicira, J. ., Sánchez, A. C., & Vela-Valdés, L. G. (2013). Fault detection in an induction motor drive based on the behavior of the power electronics devices. Revista Facultad De Ingeniería Universidad De Antioquia, (47), 145–154. https://doi.org/10.17533/udea.redin.16691