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The temperature measurement of the windings in a three-phase electrical motor under different conditions

Year 2015, Volume: 3 Issue: 2, 39 - 44, 08.07.2015

Abstract

Based on a portable and high-resolution infrared thermographic system, this work studies the temperature measurement of the windings in a three phase electrical motor. The electrical machine operated under two scenarios, without load and under full-load conditions. The full-load scenario presents considerably higher temperatures and requires more time in order to reach a steady temperature state. In order to evaluate how an overload condition affects the temperature of the windings, we tested the machine under 10% overload for 15 minutes and the results proved that the temperature increases rapidly not only in the windings but also in the whole machine.

References

  • Lei, Y., He, Z., Zi, Y., “A new approach to intelligent fault diagnosis of rotating machinery”, Expert Systems with Applications 35: 1593–1600, (2008).
  • Lei, Y., He, Z., Zi, Y., “Application of an intelligent classification method to mechanical fault diagnosis”, Expert Systems with Applications 36: 9941–9948 (2009).
  • Toutountzakis, T., Tan, C. K., Mba, D., “Application of acoustic emission to seeded gear
  • GU J Sci Part:A, 3(2):39-44(2015)/ J. G. FANTIDIS, D. V. BANDEKAS, K. KARAKOULIDIS, G. LAZIDIS, C. POTOLIAS
  • fault detection” NDT & E International, 38(1): 27– 36 (2005).
  • Liu, B., Ling, S. F., Gribonval, R., “Bearing failure detection using matching pursuit”. NDT&E International, 35: 255–262 (2002).
  • Yang B. S., Lim D. S., Tan, A. C. C., “VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table” Expert Systems with Application, 28(4): 735– 742 (2005).
  • Peng, Z. K., Chu, F. L., “Application of wavelet transform in machine condition monitoring and fault diagnostics: Mechanical Systems and Signal Processing, 17: 199–221, 2003. with bibliography”.
  • Huang, N. E., Shen, Z., Long, S. R., “The Empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis”. Proceedings of the Royal Society of London, 454: 903–995. (1998).
  • Lee, S. K., White, P. R., “Higher-order time- frequency analysis and its application to fault detection in rotating machinery”. Mechanical Systems and Signal Processing, 11(4): 637–650 (1997).
  • Younus, A. MD., Yang, B., “Intelligent fault diagnosis of rotating machinery using infrared thermal image”, Expert Systems with Applications 39: 2082–2091 (2012).
  • Kad, R. S., “IR thermography is a Condition Monitor Technique in industry”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(3): 988-993 (2013).
  • Zhang P., Lu B., Habetler T.G., “Active Stator Winding Thermal Protection for Ac Motors”, Proceedings of IEEE IAS Pulp and Paper Industry Conference, Alabama, USA, (2009)
  • Nandi, S., Toliyat, H. A. and Li, X., “Condition monitoring and fault diagnosis of electric motors—a review”, IEEE Trans. on energy conversion, 20(4): 719-129, (2005).
  • Carderock Division Naval Surface Warfare Center, “Handbook of Reliability Prediction Procedures for Mechanical Equipment” (2010).
  • Barreira, E., de Freitas, V.P., Delgado, J.M.P.Q. and Ramos, N.M.M., “Thermography Applications in the Study of Buildings Hygrothermal Behaviour, Infrared Thermography”, Dr. Raghu V Prakash (Ed.), ISBN: 978-953-51-0242-7 (2012).
  • Stipetic, S., Kovacic, M., Hanic, Z., Vrazic, M., “Measurement of Excitation Winding Temperature on Synchronous Generator in Rotation Using Infrared Thermography”, IEEE Transactions on Industrial Electronics, 59 (5): 2288-2298 (2012).
  • Fantidis J. G., Karakoulidis K., Lazidis G., Potolias C., Bandekas D. V., “The study of the thermal profile of a three-phase motor under different conditions”, ARPN Journal of Engineering and Applied Sciences, 8 (11): 892 – 899 (2013).
Year 2015, Volume: 3 Issue: 2, 39 - 44, 08.07.2015

Abstract

References

  • Lei, Y., He, Z., Zi, Y., “A new approach to intelligent fault diagnosis of rotating machinery”, Expert Systems with Applications 35: 1593–1600, (2008).
  • Lei, Y., He, Z., Zi, Y., “Application of an intelligent classification method to mechanical fault diagnosis”, Expert Systems with Applications 36: 9941–9948 (2009).
  • Toutountzakis, T., Tan, C. K., Mba, D., “Application of acoustic emission to seeded gear
  • GU J Sci Part:A, 3(2):39-44(2015)/ J. G. FANTIDIS, D. V. BANDEKAS, K. KARAKOULIDIS, G. LAZIDIS, C. POTOLIAS
  • fault detection” NDT & E International, 38(1): 27– 36 (2005).
  • Liu, B., Ling, S. F., Gribonval, R., “Bearing failure detection using matching pursuit”. NDT&E International, 35: 255–262 (2002).
  • Yang B. S., Lim D. S., Tan, A. C. C., “VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table” Expert Systems with Application, 28(4): 735– 742 (2005).
  • Peng, Z. K., Chu, F. L., “Application of wavelet transform in machine condition monitoring and fault diagnostics: Mechanical Systems and Signal Processing, 17: 199–221, 2003. with bibliography”.
  • Huang, N. E., Shen, Z., Long, S. R., “The Empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis”. Proceedings of the Royal Society of London, 454: 903–995. (1998).
  • Lee, S. K., White, P. R., “Higher-order time- frequency analysis and its application to fault detection in rotating machinery”. Mechanical Systems and Signal Processing, 11(4): 637–650 (1997).
  • Younus, A. MD., Yang, B., “Intelligent fault diagnosis of rotating machinery using infrared thermal image”, Expert Systems with Applications 39: 2082–2091 (2012).
  • Kad, R. S., “IR thermography is a Condition Monitor Technique in industry”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(3): 988-993 (2013).
  • Zhang P., Lu B., Habetler T.G., “Active Stator Winding Thermal Protection for Ac Motors”, Proceedings of IEEE IAS Pulp and Paper Industry Conference, Alabama, USA, (2009)
  • Nandi, S., Toliyat, H. A. and Li, X., “Condition monitoring and fault diagnosis of electric motors—a review”, IEEE Trans. on energy conversion, 20(4): 719-129, (2005).
  • Carderock Division Naval Surface Warfare Center, “Handbook of Reliability Prediction Procedures for Mechanical Equipment” (2010).
  • Barreira, E., de Freitas, V.P., Delgado, J.M.P.Q. and Ramos, N.M.M., “Thermography Applications in the Study of Buildings Hygrothermal Behaviour, Infrared Thermography”, Dr. Raghu V Prakash (Ed.), ISBN: 978-953-51-0242-7 (2012).
  • Stipetic, S., Kovacic, M., Hanic, Z., Vrazic, M., “Measurement of Excitation Winding Temperature on Synchronous Generator in Rotation Using Infrared Thermography”, IEEE Transactions on Industrial Electronics, 59 (5): 2288-2298 (2012).
  • Fantidis J. G., Karakoulidis K., Lazidis G., Potolias C., Bandekas D. V., “The study of the thermal profile of a three-phase motor under different conditions”, ARPN Journal of Engineering and Applied Sciences, 8 (11): 892 – 899 (2013).
There are 18 citations in total.

Details

Primary Language English
Journal Section Electrical & Electronics Engineering
Authors

Jacob Fantidis This is me

Publication Date July 8, 2015
Submission Date December 29, 2013
Published in Issue Year 2015 Volume: 3 Issue: 2

Cite

APA Fantidis, J. (2015). The temperature measurement of the windings in a three-phase electrical motor under different conditions. Gazi University Journal of Science Part A: Engineering and Innovation, 3(2), 39-44.