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

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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

Authors

Ahmed Ramdane

Faculty of Technology, Université 20 août 1955-Skikda, Skikda, Algeria

Abdelaziz Lakehal

lakehal21@yahoo.fr

Department of Mechanical Engineering, Mohamed Chérif Messaadia University, Souk-Ahras, Algeria

Ridha Kelaiaia

r.kelaiaia@univ-skikda.dz

Faculty of Technology, Université 20 août 1955-Skikda, Skikda, Algeria

Salah Saad

Laboratoire Systèmes Electromécaniques (LSELM),, University of Badji-Mokhtar, Annaba, Algeria

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

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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,

Bayesian network,

Related subjects:

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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