ITC Fukuoka 2023

講演情報

Technical Session

Technical sessions » Engineering Tribology

Rolling Bearings 3

2023年9月30日(土) 15:50 〜 17:50 会場 C (中会議室502+503)

Amir Kadiric (Imperial College London, UK)
Mamoru Tohyama (Toyota central R&D Labs., Inc., Japan)

16:10 〜 16:30

[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)

キーワード:Rolling element bearings, machine learning, intelligent fault diagnosis, generalised model, fast kurtogram

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