Anomaly Data Detection of Rolling Element Bearings Vibration Signal Based on Parameter Optimization Isolation Forest

Anomaly data detection is not only an important part of the condition monitoring process of rolling element bearings, but also the premise of data cleaning, compensation and mining. Aiming at the abnormal data segment detection of the vibration signals of a rolling element bearing, this paper propos...

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Bibliographic Details

Published in:	Machines
Main Authors:	Haiming Wang, Qiang Li, Yongqiang Liu, Shaopu Yang
Format:	Article
Language:	English
Published:	MDPI AG 2022-06-01
Subjects:	rolling element bearings data anomaly detection comprehensive feature parameter optimization isolation forest
Online Access:	https://www.mdpi.com/2075-1702/10/6/459