Cross-Condition Fault Diagnosis of Crane Slewing Bearings Based on a Lightweight Domain-Adaptive Graph Convolutional Network
- DOI
- 10.3390/s26175433
- Published
- 2026-08-27
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26175433,
title = {Cross-Condition Fault Diagnosis of Crane Slewing Bearings Based on a Lightweight Domain-Adaptive Graph Convolutional Network},
author = {Wuben Yang and Qiangyin Wu and Anding Wu and Lipeng Su and Yifan Lou and Jiafu Wu and Zhaoyi Wang and Cancan Yi},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26175433},
url = {https://doi.org/10.3390/s26175433}
}RIS
TY - JOUR TI - Cross-Condition Fault Diagnosis of Crane Slewing Bearings Based on a Lightweight Domain-Adaptive Graph Convolutional Network AU - Wuben Yang AU - Qiangyin Wu AU - Anding Wu AU - Lipeng Su AU - Yifan Lou AU - Jiafu Wu AU - Zhaoyi Wang AU - Cancan Yi PY - 2026 JO - Sensors DO - 10.3390/s26175433 UR - https://doi.org/10.3390/s26175433 ER -
APA
Yang, W., Wu, Q., Wu, A., Su, L., Lou, Y., Wu, J., Wang, Z., & Yi, C. (2026). Cross-Condition Fault Diagnosis of Crane Slewing Bearings Based on a Lightweight Domain-Adaptive Graph Convolutional Network. Sensors. https://doi.org/10.3390/s26175433
Source records
- crossref · retrieved 2026-09-25T04:27:09.596Z