Fault Diagnosis of Ship Chilled Water Units Based on a Hybrid Attention Domain-Adaptive Network.
- DOI
- 10.3390/e28080840
- Published
- 2026 Jul 28
- Container
- Entropy (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/e28080840,
title = {Fault Diagnosis of Ship Chilled Water Units Based on a Hybrid Attention Domain-Adaptive Network.},
author = {Feng Q and Li Y and Liu Y and Liang X and Liu M and Qu D and Cen Y},
year = {2026},
journal = {Entropy (Basel, Switzerland)},
doi = {10.3390/e28080840},
url = {https://doi.org/10.3390/e28080840}
}RIS
TY - JOUR TI - Fault Diagnosis of Ship Chilled Water Units Based on a Hybrid Attention Domain-Adaptive Network. AU - Feng Q AU - Li Y AU - Liu Y AU - Liang X AU - Liu M AU - Qu D AU - Cen Y PY - 2026 JO - Entropy (Basel, Switzerland) DO - 10.3390/e28080840 UR - https://doi.org/10.3390/e28080840 ER -
APA
Q, F., Y, L., Y, L., X, L., M, L., D, Q., & Y, C. (2026). Fault Diagnosis of Ship Chilled Water Units Based on a Hybrid Attention Domain-Adaptive Network.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e28080840
Source records
- pubmed · retrieved 2026-09-25T03:39:56.341Z