Bearing Fault Degradation Modeling Based on Multitime Windows Fusion Unsupervised Health Indicator

Most health indicators (HIs) used to predict bearing performance degradation are calculated through supervised learning of failure data. However, due to the limited availability of failure data during the operation of bearings and the uncertainty of failure occurrences, using a supervised learning m...

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Veröffentlicht in:	IEEE sensors journal 2023-09, Vol.23 (17), p.19623-19634
Hauptverfasser:	Mochammad, Solichin, Noh, Yoojeong, Kang, Young-Jin
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities Bearings Failure Frequency analysis Performance degradation Principal components analysis Supervised learning Unsupervised learning
Online-Zugang:	Volltext
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