Peng, Z., Green, A., and Yuan, C. (2005) The study of wear in a spur gear using wear debris and vibration analysis techniques. In: Proceedings of Modern Science of Advanced Materials MSAM 2004: 1st International Conference in Engineering of Materials. pp. 1-7. From: Modern Science and Advanced Materials: 1st International Conference in Engineering of Materials, 12-14 July 2004, Townsville, QLD, Australia.

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Abstract

Wear results in material loss and degradation, generating faults that may lead to billions of dollars cost on repair and/or maintenance world widely. Machine condition monitoring is a widely used practice to assess the severity of wear in machinery. The aim of this work is to investigate the effectiveness of combining both vibration analysis and wear debris analysis in an integrated machine condition monitoring maintenance program. A series of studies was conducted on a spur gearbox test rig. After a test under normal condition was conducted to obtain the baseline information of the test rig, a number of different machine defect conditions were introduced under controlled operating conditions. This paper reports our findings of two tests, corresponding to (i) normal operation, and (ii) overload condition. Numerical data provided by wear debris analysis was compared with vibration analysis spectra in order to quantify the effectiveness of both vibration analysis and wear debris analysis in predicting and diagnosing machine failures. It was found that overall, both techniques correlated well to detect changes in the gear condition. The presented integrated approach has the potential to revolutionise industry practices and provide companies with significant economic relief.

Item ID:	11399
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-876682-84-2
Keywords:	wear; fault detection; vibration analysis; wear debris analysis
Date Deposited:	12 Jul 2010 23:24
FoR Codes:	09 ENGINEERING > 0913 Mechanical Engineering > 091309 Tribology @ 100%
SEO Codes:	86 MANUFACTURING > 8614 Machinery and Equipment > 861403 Industrial Machinery and Equipment @ 100%
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