Evaluation of the Performance of Infrared Thermography for On-Line Condition Monitoring of Rotating Machines
Vincent Leemans, Marie-France Destain, Bovic Kilundu, Pierre Dehombreux
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DOI: 10.4236/eng.2011.310128   PDF    HTML     5,154 Downloads   9,463 Views   Citations

Abstract

This study evaluated the possibility of infrared thermography to measure accurately the temperature of elements of a rotating device, within the scope of condition monitoring. The tested machine was a blower coupled to a 500 kW electric motor, that operated in multiples regimes. The thermograms were acquired by a fixed thermographic camera and were processed and recorded every 15 minutes. Because the normal temperature variations could easily mask a drift caused by a failure, a corrected temperature was computed using autorecursive models. It was shown that an efficient temperature correction should compensate for the variations of the process, and for the ambient temperatures variations, either daily or seasonal. The standard deviation of the corrected temperature was of a few tenth of degree, making possible the detection of a drift of less than one degree and the prediction of potential failure.

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V. Leemans, M. Destain, B. Kilundu and P. Dehombreux, "Evaluation of the Performance of Infrared Thermography for On-Line Condition Monitoring of Rotating Machines," Engineering, Vol. 3 No. 10, 2011, pp. 1030-1039. doi: 10.4236/eng.2011.310128.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] X. P. V. Maldague, “Theory and Practice of Infrared Technology for Nondestructive Testing,” John Wiley & Son, New York, 2001.
[2] D. J. Titman, “Applications of Thermography in Non-Destructive Testing of Structures,” NDT & E International, Vol. 34, No. 2, 2001, pp. 149-154. doi:10.1016/S0963-8695(00)00039-6
[3] O. Maletic, “Infra-red Thermography in Balkans Cartonesboard Mill—Starting from Scratch,” Proceedings of Inframation, Las Vegas, 11-14 December 2005.
[4] J. Sun, R. J. K. Wood, L. Wang, I. Care and H. E. G. Powire, “Wear Monitoring of Bearing Steel Using Electrostatic and Acoustic Emission Techniques,” Wear, Vol. 259, No. 7-12, 2005, pp. 1482-1489.
[5] T. J. Harvey, R. J. K. Wood and H. E. G. Powire, “Electrostatic Wear Monitoring of Rolling Element Bearings”, Wear, Vol. 263, No. 7-12, 2007, pp. 1492-1491.
[6] M. Craig, T. J. Harvey, R. J. K. Wood, K. Masuda, M. Kawabata and H. E. G. Powrie, “Advanced Condi-tion Monitoring of Tapered Roller Bearings, Part1,” Tribology International, Vol. 42, No. 11-12, 2009, pp. 1846-1856. doi:10.1016/j.triboint.2009.04.033
[7] A. Brown, “Thermo-graphic Predictive Maintenance for Enhanced Productivity,” South East Asia Iron & Steel Institute Japan Conference and Exhibition, Tokyo, April 2002.
[8] V. Martinez, B. T. Marti-nez, P. O. Gonzalez and R. W. P. Uria, “Fault Detection in Diesel Engines Using Infrared Thermography,” Insight, Vol. 44, No. 4, 2002, pp. 228-232.
[9] D. J. Yang and C. J. Choi, “Evaluation Method of Gaz Turbines Blades Covering Integrity by IR Camera,” International Journal of Modern Physics, Vol. 20, 2006, pp. 4329-4334.
[10] S. Bagavathiappan, T. Sarava-nan, N. P. George, J. Philip, T. Jayakurnar and B. Raj, “Condi-tion Monitoring of Exhaust System Blowers Using Infrared Thermography,” Insight, Vol. 50, No. 9, 2008, pp. 512-515. doi:10.1784/insi.2008.50.9.512
[11] K. D. Cole, C. M. Ta-rawneh, A. A. Fuentes, B. M. Wilson and L. Navarro, “Ther-mal Models of Railroad Wheels and Bearings,” International Journal of Heat and Mass Transfert, Vol. 53, No. 9-10, 2010, pp. 1636-1645. doi:10.1016/j.ijheatmasstransfer.2010.01.031
[12] I. Kleis, U. Muiste, U. Pilvre, H. Uuemois and H. Uetz, “The Physical Mechanism of the Formation of Metal Microsphere in the Wear Process,” Wear, Vol. 53, 1979, pp. 79-85. doi:10.1016/0043-1648(79)90218-7
[13] N. Ranc, D. Wagner and P. C. Paris, “Study of Thermal Effect Associated with Crack Propagation during Very High Cycle Fatigue Test,” Acta Materialia, Vol. 50, No. 15, 2008, pp. 4012-4021. doi:10.1016/j.actamat.2008.04.023
[14] B. Yang, P. K. Liaw, M. Morrison, C. T. Liu, R. A. Buchanan, J. Y. Huang, R. C. Kuo, J. G. Huang and D. E. Fielden, “Temperature Evolution during Fatigue Damage,” Intermetallics, Vol. 13, No. 3-4, 2005, pp. 419-428. doi:10.1016/j.intermet.2004.07.032
[15] A. Jiang and H. Mao, “Investigation of Variable Optimum Preload for a Machine Tool Spindle,” International Journal of Machine Tools & Manufacture, Vol. 50, No. 1, 2010, pp. 19-28. doi:10.1016/j.ijmachtools.2009.10.001
[16] J.-S. Chen and K.-W. Chen, “Bearing Load Analysis and Control of a Motor-ized High Speed Spindle,” Machine tools & manufacture, Vol. 45, No. 12-13, 2005, pp. 1487-1493.
[17] A. Mazioud, J.-F. Durastanti, L. Ibos and E. Surugue, “Detection of Rolling Bearing Degradation Using Infrared Thermography,” Proceed-ings of the 8th International Conference on Quantitative Infrared Thermography (QIRT 2006), Padoue, 27-30 June 2006.
[18] L. Ljung, “System Indentification. Theory for the User,” 2nd Edition, Prentice Hall, Upper Saddle River, 1999.

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