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

• Published in: Expert systems with applications Vol. 249; p. 123801
• Main Authors: Luo, Qinyuan, Chen, Jinglong, Zi, Yanyang, Xie, Jingsong
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2024
• Subjects: Contrastive learning; Convolutional neural network; Electromechanical systems; Fault diagnosis; Multimodal sensors; Fault diagnosis; Multimodal sensors; Electromechanical systems; Convolutional neural network; Contrastive learning

Electromechanical systems is widely employed in the manufacturing industry, with fault diagnosis being critical for ensuring the reliable operation of them. Vibration signals exhibit distinct fault features, but their acquisition is subject to various limitations. Conversely, current signals, while...