Physics-guided cross-domain adaptation: a hierarchical hybrid transformer framework with contrastive learning for robust fault diagnosis under variable working conditions.

Liu L, Hao C, Xiong L, Lv X

Open source

DOI
10.1038/s41598-026-57900-9
Published
2026 Jun 16
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-57900-9,
  title = {Physics-guided cross-domain adaptation: a hierarchical hybrid transformer framework with contrastive learning for robust fault diagnosis under variable working conditions.},
  author = {Liu L and Hao C and Xiong L and Lv X},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-57900-9},
  url = {https://doi.org/10.1038/s41598-026-57900-9}
}

RIS

TY  - JOUR
TI  - Physics-guided cross-domain adaptation: a hierarchical hybrid transformer framework with contrastive learning for robust fault diagnosis under variable working conditions.
AU  - Liu L
AU  - Hao C
AU  - Xiong L
AU  - Lv X
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-57900-9
UR  - https://doi.org/10.1038/s41598-026-57900-9
ER  -

APA

L, L., C, H., L, X., & X, L. (2026). Physics-guided cross-domain adaptation: a hierarchical hybrid transformer framework with contrastive learning for robust fault diagnosis under variable working conditions.. Scientific reports. https://doi.org/10.1038/s41598-026-57900-9

Source records