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Please use this identifier to cite or link to this item: http://dspace.lib.cranfield.ac.uk/handle/1826/899

Document Type: Article
Title: A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size
Authors: Al-Ghamd, Abdullah M
Mba, David
Issue Date: 2006
Citation: Abdullah M. Al-Ghamd and David Mba, A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size, Mechanical Systems and Signal Processing, Volume 20, Issue 7, October 2006, Pages 1537-1571.
Abstract: Vibration monitoring of rolling element bearings is probably the most established diagnostic technique for rotating machinery. The application of acoustic emission (AE) for bearing diagnosis is gaining ground as a complementary diagnostic tool, however, limitations in the successful application of the AE technique have been partly due to the difficulty in processing, interpreting and classifying the acquired data. Furthermore, the extent of bearing damage has eluded the diagnostician. The experimental investigation reported in this paper was centred on the application of the AE technique for identifying the presence and size of a defect on a radially loaded bearing. An experimental test rig was designed such that defects of varying sizes could be seeded onto the outer race of a test bearing. Comparisons between AE and vibration analysis over a range of speed and load conditions are presented. In addition, the primary source of AE activity from seeded defects is investigated. It is concluded that AE offers earlier fault detection and improved identification capabilities than vibration analysis. Furthermore, the AE technique also provided an indication of the defect size, allowing the user to monitor the rate of degradation on the bearing; unachievable with vibration analysis.
URI: http://dx.doi.org/10.1016/j.ymssp.2004.10.013
http://dspace.lib.cranfield.ac.uk/handle/1826/899
Appears in Collections:Staff publications - School of Engineering

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