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

Jacob Fantidis
3.923 962

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.


Keywords


Thermography; Electric motor; Overload; Fault diagnostics.

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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

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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).