Abdelaziz LAKEHAL (2020) Bayesian graphical model based optimal decision-making for fault diagnosis of critical induction motors in industrial applications. Bulletin of the Polish Academy of Sciences. Technical Sciences , 68(3), 467-476, Polish Academy of Sciences
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Résumé
Information
| Item Type | Journal |
|---|---|
| Divisions | |
| ePrint ID | 2373 |
| Date Deposited | 2020-11-03 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/fr/publication/article/2373 |
BibTex
@article{uniusa2373,
title={Bayesian graphical model based optimal decision-making for fault diagnosis of critical induction motors in industrial applications},
author={Abdelaziz LAKEHAL},
journal={Bulletin of the Polish Academy of Sciences. Technical Sciences}
year={2020},
volume={68},
number={3},
pages={467-476},
publisher={Polish Academy of Sciences}
}
title={Bayesian graphical model based optimal decision-making for fault diagnosis of critical induction motors in industrial applications},
author={Abdelaziz LAKEHAL},
journal={Bulletin of the Polish Academy of Sciences. Technical Sciences}
year={2020},
volume={68},
number={3},
pages={467-476},
publisher={Polish Academy of Sciences}
}