Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions

Yiyao An; Ke Zhang; Yi Chai; Qie Liu; Xinghua Huang

doi:10.1016/j.eswa.2022.118802

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Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions

Yiyao An Ke Zhang Yi Chai Qie Liu Xinghua Huang

Year: 2022 Journal: Expert Systems with Applications Vol: 212 Pages: 118802-118802 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2022.118802

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Keywords:

Computer science Fault (geology) Artificial intelligence Pattern recognition (psychology) Convolutional neural network Feature (linguistics) Similarity (geometry) Domain (mathematical analysis) Feature extraction Data mining Machine learning Marginal distribution Mathematics Statistics

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions

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