Vibration-based bearing fault diagnosis in noisy conditions using matrix pencil mean frequency and multilayer perceptron neural networks
- DOI
- 10.1371/journal.pone.0345870
- Published
- 2026-03-30
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0345870,
title = {Vibration-based bearing fault diagnosis in noisy conditions using matrix pencil mean frequency and multilayer perceptron neural networks},
author = {Abderrzak Laib and Fayssal Ouagueni and Abdelghafour Herizi and Salim Djeriou and Hafiz Ahmed and Zakaria Chedjara and Saida Dahmane},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0345870},
url = {https://doi.org/10.1371/journal.pone.0345870}
}RIS
TY - JOUR TI - Vibration-based bearing fault diagnosis in noisy conditions using matrix pencil mean frequency and multilayer perceptron neural networks AU - Abderrzak Laib AU - Fayssal Ouagueni AU - Abdelghafour Herizi AU - Salim Djeriou AU - Hafiz Ahmed AU - Zakaria Chedjara AU - Saida Dahmane PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0345870 UR - https://doi.org/10.1371/journal.pone.0345870 ER -
APA
Laib, A., Ouagueni, F., Herizi, A., Djeriou, S., Ahmed, H., Chedjara, Z., & Dahmane, S. (2026). Vibration-based bearing fault diagnosis in noisy conditions using matrix pencil mean frequency and multilayer perceptron neural networks. PLOS One. https://doi.org/10.1371/journal.pone.0345870
Source records
- crossref · retrieved 2026-11-11T03:16:57.868Z