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A Bayesian Information System for Predicting Stator Faults in Induction Machines Cover

A Bayesian Information System for Predicting Stator Faults in Induction Machines

Acta Universitatis Sapientiae, Electrical and Mechanical Engineering
Volume 10 (2018): Issue 1 (December 2018)
By: Ahmed Ramdane,  Abdelaziz Lakehal,  Ridha Kelaiaia and  Salah Saad  
Open Access
|Feb 2019
DOI: https://doi.org/10.2478/auseme-2018-0004 | Journal eISSN: 2066-8910
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Language: English
Page range: 67 - 76
Submitted on: Oct 18, 2018
|
Accepted on: Dec 10, 2018
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Published on: Feb 1, 2019
Published by: Sapientia Hungarian University of Transylvania
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Induction machine,
faults,
Bayesian network,
Stator,
Maintenance
Related subjects:
Engineering,
Electrical engineering,
Information technology,
Energy engineering,
Mechanical engineering,
Tools and methods,
Process engineering and industrial engineering

© 2019 Ahmed Ramdane, Abdelaziz Lakehal, Ridha Kelaiaia, Salah Saad, published by Sapientia Hungarian University of Transylvania
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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