Rolling Bearings 3

[30-C-13] A Study on the Generalisability of Two Feature Extraction Methods for Machine Learning-based Fault Diagnosis of Rolling Bearings

*Amirmasoud Kiakojouri¹, Zudi Lu², Patrick Mirring³, Honor Powrie⁴, Ling Wang¹ (1. National Centre for Advanced Tribology at Southampton (nCATS), School of Engineering, University of Southampton, UK, 2. Southampton Statistical Sciences Research Institute (S3RI), School of Mathematical Sciences, University of Southampton, UK, 3. Schaeffler Aerospace Germany GmbH, Germany, 4. GE Aviation, UK)

Keywords:Rolling element bearings, machine learning, intelligent fault diagnosis, generalised model, fast kurtogram