Fault Diagnosis Method for Rotating Machinery Based on Threshold-Free Recurrence Distance Visualization Convolutional Neural Network
- DOI
- 10.3390/s26123815
- Published
- 2026-06-16
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26123815,
title = {Fault Diagnosis Method for Rotating Machinery Based on Threshold-Free Recurrence Distance Visualization Convolutional Neural Network},
author = {Chao Song and Fuzhou Feng and Feng Liu and Ziyu Liu and Hao Hu},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26123815},
url = {https://doi.org/10.3390/s26123815}
}RIS
TY - JOUR TI - Fault Diagnosis Method for Rotating Machinery Based on Threshold-Free Recurrence Distance Visualization Convolutional Neural Network AU - Chao Song AU - Fuzhou Feng AU - Feng Liu AU - Ziyu Liu AU - Hao Hu PY - 2026 JO - Sensors DO - 10.3390/s26123815 UR - https://doi.org/10.3390/s26123815 ER -
APA
Song, C., Feng, F., Liu, F., Liu, Z., & Hu, H. (2026). Fault Diagnosis Method for Rotating Machinery Based on Threshold-Free Recurrence Distance Visualization Convolutional Neural Network. Sensors. https://doi.org/10.3390/s26123815
Source records
- crossref · retrieved 2026-11-10T08:14:17.165Z