A novel dual-dimensional contrastive self-supervised learning-based framework for rolling bearing remaining useful life prediction
- DOI
- 10.1038/s41598-026-38417-7
- Published
- 2026-03-13
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-38417-7,
title = {A novel dual-dimensional contrastive self-supervised learning-based framework for rolling bearing remaining useful life prediction},
author = {Zhunan Shen and Chenhao Yang and Liu Cheng and Xiangwei Kong and Zhitong Liu and Kaiyu Su},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-38417-7},
url = {https://doi.org/10.1038/s41598-026-38417-7}
}RIS
TY - JOUR TI - A novel dual-dimensional contrastive self-supervised learning-based framework for rolling bearing remaining useful life prediction AU - Zhunan Shen AU - Chenhao Yang AU - Liu Cheng AU - Xiangwei Kong AU - Zhitong Liu AU - Kaiyu Su PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-38417-7 UR - https://doi.org/10.1038/s41598-026-38417-7 ER -
APA
Shen, Z., Yang, C., Cheng, L., Kong, X., Liu, Z., & Su, K. (2026). A novel dual-dimensional contrastive self-supervised learning-based framework for rolling bearing remaining useful life prediction. Scientific Reports. https://doi.org/10.1038/s41598-026-38417-7
Source records
- crossref · retrieved 2026-09-25T11:59:26.322Z