Vibration, Sound and Thermal Analysis as a Condition Monitoring Methods for Electric Motors

Article Preview

Abstract:

This paper presents a comparison of different measurement techniques for condition monitoring of electric motors. Results are presented for vibration, acoustic and thermal analysis. Vibration signals were measured by piezoelectric accelerometers, acoustic by microphones and temperature data was collected by an infrared camera. Two induction motor cases were examined – healthy motor case and combination of static eccentricity with soft foot case. Vibration monitoring is a well known technique used in condition monitoring and in this work vibration measurements were used as a reference signal for assessment of the value of acoustic and thermal measurements. As presented in result section both acoustic analyses as well as thermal images appear as valuable techniques for condition monitoring of electric motors. All the measurements where conducted in an industrial environment.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

462-467

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Thomson W. T., Fenger M.: IEEE Industry Applications Magazine, Vol.7 (2001), P.26

Google Scholar

[2] Long Wu, 2007, Separating Load Torque Oscillation and Rotor Faults in Stator Current Based-Induction Motor Condition Monitoring, Georgia Institute of Technology

DOI: 10.1109/iemdc.2005.195978

Google Scholar

[3] Tavner P.J.: IET Electrical Power Applications, Vol. 2 (2008), P. 215

Google Scholar

[4] Orman M., Orkisz M., Pinto C. T. Slip Estimation of a Large Induction Machine Based on MCSA, SDMPED, Bologna (2011)

DOI: 10.1109/demped.2011.6063680

Google Scholar

[5] Orman M., Orkisz M., Pinto C. T.: Elsevier, Mechanical Systems and Signal Processing, Vol 25 (2011), p.1408

Google Scholar

[6] Van Riesen D., Schlensok C., Henrotte F., Hameyer K.: submitted to 17th International Conference on Electrical Machines, ICEM (2006)

Google Scholar

[7] Verma S. P.: submitted to 1996 International Conference on Power Electronics, Drives and Energy Systems for Industrial Growth, Vol. 2, p.1031

Google Scholar

[8] Verma S. P., W. Li: Sixth International Conference on Electrical Machines and Systems ICEMS, Vol. 2 (2003), p.861

Google Scholar

[9] Kral C., Habetler T. G. Condition Monitoring and Fault Detection of Electric Drives, Fault Detection, InTech (2010)

DOI: 10.5772/9074

Google Scholar

[10] Kral, C., Habetler, T. G., Harley, R. G., Pirker, F., Pascoli, G., Oberguggenberger, H. & Fenz, C.: IEEE Transactions on Industry Applications, vol. 40 (2004), p.1049

DOI: 10.1109/tia.2004.830759

Google Scholar

[11] Gaylard, A., Meyer, A., Landy, C., A. submitted to Seventh International Conference on (Conf. Publ. No. 412), Durham, pp.147-150

Google Scholar

[12] Dorrell D.G., Thomson W. T., Roach S.: submitted to IEEE Transactions on Industry Applications, Vol. 33(1997)

Google Scholar

[13] Liew S. C.: submitted to Electromagnetic Waves, Centre for Remote Imaging, Sensing and Processing (2006)

Google Scholar