PaEDNet: A Robust Denoising and Classification Framework for Vibration-Based Fault Diagnosis with Measurement Noise
- DOI
- 10.3390/s26113435
- Published
- 2026-05-29
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26113435,
title = {PaEDNet: A Robust Denoising and Classification Framework for Vibration-Based Fault Diagnosis with Measurement Noise},
author = {Xiaojing Liao and Yongwei Chi and Yu Bai and Qinya Dai and Peiyu Zhao and Na Li and Linlin Sun and Dongyang Li},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26113435},
url = {https://doi.org/10.3390/s26113435}
}RIS
TY - JOUR TI - PaEDNet: A Robust Denoising and Classification Framework for Vibration-Based Fault Diagnosis with Measurement Noise AU - Xiaojing Liao AU - Yongwei Chi AU - Yu Bai AU - Qinya Dai AU - Peiyu Zhao AU - Na Li AU - Linlin Sun AU - Dongyang Li PY - 2026 JO - Sensors DO - 10.3390/s26113435 UR - https://doi.org/10.3390/s26113435 ER -
APA
Liao, X., Chi, Y., Bai, Y., Dai, Q., Zhao, P., Li, N., Sun, L., & Li, D. (2026). PaEDNet: A Robust Denoising and Classification Framework for Vibration-Based Fault Diagnosis with Measurement Noise. Sensors. https://doi.org/10.3390/s26113435
Source records
- crossref · retrieved 2026-09-26T21:46:00.126Z