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Fault diagnosis of rotating machines using vibration and bearing temperature measurements

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Acquisition and subsequent processing of vibration data for fault diagnosis of rotating machinery with multiple bearings, such as Turbo-generator (TG) sets, can be quite involved, as data are usually required in three mutually perpendicular directions for reliable diagnosis. Consequently, the task of diagnosing faults on such systems may be daunting for even an experienced analyst. Hence, the current study aims to develop a simplified fault diagnosis (FD) method that uses just a single vibration and a single temperature sensor on each bearing. Initial trials on an experimental rotating rig indicate that supplementing vibration data with temperature measurements gave improved FD when compared with FD using vibration data alone. Observations made from the initial trials are presented in this paper.
Czasopismo
Rocznik
Strony
45--51
Opis fizyczny
Bibliogr. 16 poz., rys., tab., wykr.
Twórcy
  • School of Mechanical, Aerospace and Civil Engineering (MACE), The University of Manchester, Manchester M13 9PL
autor
  • School of Mechanical, Aerospace and Civil Engineering (MACE), The University of Manchester, Manchester M13 9PL
  • Department of Engineering, Lancaster University, Bailrigg, Lancaster LA1 4YR
autor
  • School of Mechanical, Aerospace and Civil Engineering (MACE), The University of Manchester, Manchester M13 9PL
Bibliografia
  • 1. British Standards Institution, 2009. ISO 10816-1:1995+A1:2009 Mechanical vibration – Evaluation of machine vibration by measurement of on non-rotating parts – Part 1: General guidelines. London: BSI.
  • 2. Craig, M., Harvey, T. J., Wood, R. J. K., Masuda, K., Kawabata, M. and Powrie, H. E. G., 2009. Advanced condition monitoring of tapered roller bearings, Part 1. Tribology International, 42(11-12), pp. 1846-1856.
  • 3. Elbhbah, K and Sinha, J, K. Vibration-based condition monitoring of rotating machines using a machine composite spectrum. Journal of Sound and Vibration, 332 (2013), pp. 2831-2845.
  • 4. Elnady, M. E., Sinha, J. K. and Oyadiji, S. O., 2012. Condition monitoring of rotating machines using on-shaft vibration measurement. In: IMechE, 9th International Conference on Vibrations in Rotating Machinery. London, UK 11-13 Sep 2012. Springer.
  • 5. Gaberson, H. A., 1996. Rotating machinery energy loss due to misalignment. Energy Conversion Engineering Conference 1996, IECEC 96, Proceedings of the 31st Intersociety, 3, pp.1809-1812.
  • 6. Jolliffe, I. T., 2002. Principal Component Analysis. 2nd ed. New York: Springer.
  • 7. Li, W., Shi, T., Liao, G. and Yang, S., 2003. Feature extraction and classification of gear faults using principal component analysis. Journal of Quality in Maintenance Engineering, 9(2), pp. 132-132.
  • 8. Liying, J., Xinxin, F., Jianguo, C. and Zhonghai, L., 2012. Fault detection of rolling element bearing based on principal component analysis. In: Proceedings of the 2012 24 th Chinese Control and Decision Conference (CCDC). New Jersey, USA 23-25 May 2012. IEEE.
  • 9. Nembhard, A. D., 2011. Comparison of Thermal and Vibration Analyses for the Condition Monitoring of Rotating Machines. MSc. The University of Manchester.
  • 10. Nembhard, A. D., Sinha, J. K., Pinkerton, A. and Elbhbah, K., 2013a. Condition Monitoring of Rotating Machines using Vibration and Bearing Temperature Measurements. In: International Conference on Condition Moniotinr of Machinery in Non-Stationary Operations (CMMNO). Ferrara, Italy 8-10 May 2013. Springer.
  • 11. Nembhard, A. D., Sinha, J. K., Pinkerton, A. J., and Elbhbah, K., 2013b. Combined Vibration and Thermal Analysis for the Condition Monitoring of Rotating Machinery. Manuscript under preparation.
  • 12. Sabnavis, G., Kirk R. G., Kasarda, M. and Quinn, D., 2004. Cracked shaft detection and diagnostics: A literature review. The Shock and Vibration Digest, 36(4), pp. 287-296.
  • 13. Sinha, J. K., 2002. Health Monitoring Techniques for Rotating Machinery. Ph.D. University of Wales Swansea (Swansea University).
  • 14. Sinha, J. K. and Elbhbah, K., 2013. A future possibility of vibration based condition monitoring of rotating machines. Mechanical Systems and Signal Processing, 34(1-2), pp. 231-240.
  • 15. Sinou, J. J., 2009. Experimental response and vibrational characteristics of a slotted rotor. Communications in Nonlinear Science and Numerical Simulation, 14(7), pp. 3179-3194.
  • 16. Yong-Wei, T. and Jian-Gang, Y., 2011. Research on vibration induced by the coupled heat and force due to rotor-to-stator rub. Journal of Vibration and Control, 17(4), pp. 549-566.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9e16b737-f7fa-45ca-a161-a247671a5a27
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