Generative Adversarial Learning Enhanced Fault Diagnosis for Planetary Gearbox under Varying Working Conditions

Generative Adversarial Learning Enhanced Fault Diagnosis for Planetary Gearbox under Varying Working Conditions

Planetary gearbox is a critical component for many mechanical systems. It is essential to monitor the planetary gearbox health and performance in order to maintain the whole machine works well. The methodology of mechanical fault diagnosis is increasingly intelligent with the extensive application o...

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Bibliographic Details
Main Authors: Weigang Wen, Yihao Bai, Weidong Cheng
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
planetary gearbox
cross-domain
intelligent fault diagnosis
generative adversarial learning
varying working conditions
Online Access:https://www.mdpi.com/1424-8220/20/6/1685

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