Ebersbach, Stephan, and Peng, Zhongxiao (2007) Wear oriented strategy for gearbox remaining lifetime estimation. In: Proceedings of the 14th International Congress on Sound and Vibration 2007. pp. 1-8. From: 14th International Congress on Sound and Vibration, 9-12 July 2007, Cairns, Qld, Australia.

PDF Restricted to Repository staff only

Abstract

Machine condition monitoring of equipment critical to the operation of a plant has become common practice in most industries, both for the detection and progress tracking of faults. Tracking the progression of faults is a measure of the rate of degradation which is often used as an indicator for assessing the remaining lifetime of the machine. The estimation of remaining lifetime without a dedicated strategy will however result in unreliable results. Knowledge of the remaining lifetime of a machine can aid the maintenance department in ordering appropriate replacement parts, plan a machine shutdown or machine replacement. Current techniques are generally concerned with the statistical distribution of failure, which is not always available and may be open to error. A strategy for predicting the remaining lifetime of gearboxes is presented in this paper, based on the wear conditions of components detected by machine condition monitoring. While this strategy can be used to estimate machine lifetimes from new condition, this unique approach also allows the estimate to be updated using machine condition monitoring data. In this way, abnormal operating conditions such as overload and lubricant contamination can be included in the revised estimate. This allows the new strategy to better adjust for changes in operating conditions with potential improvements in accuracy over statistical techniques for this scenario. The strategy has been implemented in an expert system for machine condition monitoring and tested using a spur gearbox laboratory test rig. The benefits of this development promise improved remaining lifetime estimation by taking into account the actual operating conditions experienced by the gearbox to update the estimate. This allows an operator to predict the remaining lifetime of machinery and their associated components in a repeatable and objective manner.

Item ID:	3125
Item Type:	Conference Item (Research - E1)
ISBN:	978-0-7334-2516-5
Keywords:	gearbox; vibration analysis; wear analysis; wear debris analysis; prediction of remaining lifetime
Related URLs:	http://www.iiav.org/index.php?va=congres...
Date Deposited:	22 Oct 2009 03:43
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%
Downloads:	Total: 2
	More Statistics