A Self-Attention Legendre Graph Convolution Network for Rotating Machinery Fault Diagnosis
- DOI
- 10.3390/s24175475
- Published
- 2024-08-23
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s24175475,
title = {A Self-Attention Legendre Graph Convolution Network for Rotating Machinery Fault Diagnosis},
author = {Jiancheng Ma and Jinying Huang and Siyuan Liu and Jia Luo and Licheng Jing},
year = {2024},
journal = {Sensors},
doi = {10.3390/s24175475},
url = {https://doi.org/10.3390/s24175475}
}RIS
TY - JOUR TI - A Self-Attention Legendre Graph Convolution Network for Rotating Machinery Fault Diagnosis AU - Jiancheng Ma AU - Jinying Huang AU - Siyuan Liu AU - Jia Luo AU - Licheng Jing PY - 2024 JO - Sensors DO - 10.3390/s24175475 UR - https://doi.org/10.3390/s24175475 ER -
APA
Ma, J., Huang, J., Liu, S., Luo, J., & Jing, L. (2024). A Self-Attention Legendre Graph Convolution Network for Rotating Machinery Fault Diagnosis. Sensors. https://doi.org/10.3390/s24175475
Source records
- crossref · retrieved 2026-09-25T10:17:06.989Z