Evaluation of the effect of speed and defect size on high-frequency acoustic emission and vibration condition monitoring of railway axle bearings
The rail industry has focused on the improvement of maintenance strategies through effective online condition monitoring of critical rolling stock components. The aim is to increase reliability and minimise the probability of failures. Wheelset defects can develop while in service and
evolve rapidly. For this reason, the rail industry has invested tremendously in the development of online wayside wheelset monitoring techniques to minimise the likelihood of a catastrophic derailment caused by wheel and axle bearing defects. This paper discusses the results obtained from
condition monitoring tests carried out under laboratory conditions and field trials on actual rolling stock with healthy and faulty axle bearings using acoustic emission (AE) and vibration analysis techniques. Various key parameter indicators (KPIs) are used as a means of verifying the presence
of bearing defects and evaluating their severity, together with the effect of speed on the AE and vibration measurements.
Keywords: ACOUSTIC EMISSION; AXLE BEARING; CONDITION MONITORING; RAILWAY; VIBRATION
Document Type: Research Article
Publication date: 01 April 2017
- Official Journal of The British Institute of Non-Destructive Testing - includes original research and development papers, technical and scientific reviews and case studies in the fields of NDT and CM.
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