Vibration-based bearing fault diagnosis in noisy conditions using matrix pencil mean frequency and multilayer perceptron neural networks.

Laib A, Ouagueni F, Herizi A, Djeriou S, Ahmed H, Chedjara Z, Dahmane S

Open source

DOI
10.1371/journal.pone.0345870
Published
2026
Container
PloS one
Publisher
Not recorded
Open access
yes

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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 = {Laib A and Ouagueni F and Herizi A and Djeriou S and Ahmed H and Chedjara Z and Dahmane S},
  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  - Laib A
AU  - Ouagueni F
AU  - Herizi A
AU  - Djeriou S
AU  - Ahmed H
AU  - Chedjara Z
AU  - Dahmane S
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0345870
UR  - https://doi.org/10.1371/journal.pone.0345870
ER  -

APA

A, L., F, O., A, H., S, D., H, A., Z, C., & S, D. (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

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