Contrastive Learning Framework With Cross-Sensor Adaptive Signal Representation for Fault Diagnosis

Although multisource sensor (MS) signal-based mechanical fault diagnosis (MFD) can significantly improve the diagnostic performance, the existing methods often lack sufficient adaptability and generalization when retraining on single-sensor signals or inferring from partial sensor signals. Thus, a g...

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Bibliographic Details

Published in:	IEEE transaction on neural networks and learning systems Vol. 36; no. 10; pp. 17801 - 17813
Main Authors:	He, Wenbin, Mao, Jianxu, Wang, Yaonan, Li, Zhe, Zhang, Hui
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.10.2025
Subjects:	Adaptation models Adaptive signal representation Contrastive learning Fault diagnosis Feature extraction mechanical fault diagnosis (MFD) Monitoring multisource sensor (MS) Robot sensing systems Signal representation supervised contrastive learning Training Vectors Visual perception
ISSN:	2162-237X, 2162-2388, 2162-2388
Online Access:	Get full text
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