机译:A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction
Zhejiang Univ;
Zhejiang Univ Technol||Zhejiang Univ Technol||Ninghai ZJUT Acad Sci & Technol;
Zhejiang Univ||Huzhou Inst Zhejiang Univ;
Deep learning; Remaining useful life; Unlabeled samples; Prognostics and health management; Sample augmentation;