Integration of wear debris and vibration analysis for machine condition monitoring
Peng, Z., and Kessissoglou, N. (2003) Integration of wear debris and vibration analysis for machine condition monitoring. In: Proceedings of International Conference on Intelligent Maintenance Systems. pp. 23-30. From: International Conference on Intelligent Maintenance Systems IMS2003, 30 October - 1 November 2003, Xi'an, China.
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Abstract
In this paper, the correlation of vibration analysis and wear debris analysis for machine condition monitoring is both qualitatively and quantitatively investigated. Various wear conditions were generated, using an experimental test rig consisting of a spur gearbox driven by an electric motor in order to examine the correlation of the two techniques. Two tests were conducted under the following two controlled operating conditions corresponding to constant normal load and constant overload. Oil samples and vibration data were collected regularly. Wear debris analysis included the study of particle number and size distribution, the examination of particle morphology and types to determine possible wear mechanisms, wear rates and wear sources. Fault detection in the vibration signature was compared with the particle analysis. The results from this paper have given more understanding on the dependent and independent roles of vibration and wear debris analyses in machine condition monitoring and fault diagnosis.
Item ID: | 7716 |
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Item Type: | Conference Item (Research - E1) |
ISBN: | 978-7-81099-014-1 |
Keywords: | machine condition monitoring; vibration analysis; wear debris |
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Date Deposited: | 06 Jul 2010 03:32 |
FoR Codes: | 09 ENGINEERING > 0913 Mechanical Engineering > 091399 Mechanical Engineering not elsewhere classified @ 100% |
SEO Codes: | 86 MANUFACTURING > 8614 Machinery and Equipment > 861404 Mining Machinery and Equipment @ 60% 86 MANUFACTURING > 8614 Machinery and Equipment > 861401 Agricultural Machinery and Equipment @ 30% 86 MANUFACTURING > 8614 Machinery and Equipment > 861403 Industrial Machinery and Equipment @ 10% |
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