Health Condition Estimation of Bearings with Multiple Faults by a Composite Learning-Based Approach

Bearings are critical components found in most rotating machinery; their health condition is of immense importance to many industries. The varied conditions and environments in which bearings operate make them prone to single and multiple faults. Widespread interest in the improvements of single fau...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Udeme Inyang, Ivan Petrunin, Ian Jennions
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Subjects:	multiple faults diagnostics complementary deep learning health management
Online Access:	https://www.mdpi.com/1424-8220/21/13/4424