Deep learning for non-contact machinery fault diagnosis: A review
- DOI
- 10.1016/j.neunet.2026.109591
- Published
- 2027-01
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109591,
title = {Deep learning for non-contact machinery fault diagnosis: A review},
author = {Dan Zhang and Yongyi Chen and Zhong Liu},
year = {2027},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.109591},
url = {https://doi.org/10.1016/j.neunet.2026.109591}
}RIS
TY - JOUR TI - Deep learning for non-contact machinery fault diagnosis: A review AU - Dan Zhang AU - Yongyi Chen AU - Zhong Liu PY - 2027 JO - Neural Networks DO - 10.1016/j.neunet.2026.109591 UR - https://doi.org/10.1016/j.neunet.2026.109591 ER -
APA
Zhang, D., Chen, Y., & Liu, Z. (2027). Deep learning for non-contact machinery fault diagnosis: A review. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109591
Source records
- crossref · retrieved 2026-09-26T05:47:29.076Z