IAA-CRL: A universal information-adaptive augmentation based contrastive representation learning framework for remaining useful life prediction of rolling bearings

Mechanical Systems and Signal Processing 2026

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Authors: Chenhao Yang, Liu Cheng, Zhunan Shen, Zhitong Liu, Kaiyu Su, Xiangwei Kong, Jinchao Ma, Yunpeng Zhu, Z Wang

DOI: 10.1016/j.ymssp.2026.114357

Cited by: 1

References: 30

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Imbalanced Data Classification Techniques Domain Adaptation and Few-Shot Learning

References 30