A synchronization-induced cross-modal contrastive learning strategy for fault diagnosis of electromechanical systems under semi-supervised learning with current signal

Author:

Luo QinyuanORCID,Chen JinglongORCID,Zi Yanyang,Xie Jingsong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference39 articles.

1. Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study;AlShorman;Advances in Mechanical Engineering,2021

2. Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions;An;Expert Systems with Applications,2023

3. Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis;Azamfar;Mechanical Systems and Signal Processing,2020

4. Fault diagnosis and condition monitoring of electrical machines—A review;Basak;IEEE International Conference on Industrial Technology,2006

5. Bearing faults diagnosis using fuzzy expert system relying on an improved range overlaps and Similarity method;Berredjem;Expert Systems with Applications,2018

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