Industrial Anomaly Detection and Fault Grade Assessment for Railway Catenary Components Based on Diffusion Models

Hongyue Qian, Zhiwei Han, Weijia Hong, Haonan Yang, Hui Wang, Jilin Li, Zhigang Liu

Open source

DOI
10.3390/s26154783
Published
2026-07-28
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/s26154783,
  title = {Industrial Anomaly Detection and Fault Grade Assessment for Railway Catenary Components Based on Diffusion Models},
  author = {Hongyue Qian and Zhiwei Han and Weijia Hong and Haonan Yang and Hui Wang and Jilin Li and Zhigang Liu},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26154783},
  url = {https://doi.org/10.3390/s26154783}
}

RIS

TY  - JOUR
TI  - Industrial Anomaly Detection and Fault Grade Assessment for Railway Catenary Components Based on Diffusion Models
AU  - Hongyue Qian
AU  - Zhiwei Han
AU  - Weijia Hong
AU  - Haonan Yang
AU  - Hui Wang
AU  - Jilin Li
AU  - Zhigang Liu
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26154783
UR  - https://doi.org/10.3390/s26154783
ER  - 

APA

Qian, H., Han, Z., Hong, W., Yang, H., Wang, H., Li, J., & Liu, Z. (2026). Industrial Anomaly Detection and Fault Grade Assessment for Railway Catenary Components Based on Diffusion Models. Sensors. https://doi.org/10.3390/s26154783

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