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Acta Universitatis Sapientiae, Electrical and Mechanical Engineering
Volume 11 (2019): Issue 1 (December 2019)
Open Access
Use of Support Vector Machines for Classification of Defects in the Induction Motor
Samia Benzahioul
Samia Benzahioul
,
Abderrezak Metatla
Abderrezak Metatla
,
Adlen Kerboua
Adlen Kerboua
,
Dimitri Lefebvre
Dimitri Lefebvre
and
Riad Bendib
Riad Bendib
| Dec 31, 2019
Acta Universitatis Sapientiae, Electrical and Mechanical Engineering
Volume 11 (2019): Issue 1 (December 2019)
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Published Online:
Dec 31, 2019
Page range:
1 - 21
Received:
Sep 22, 2018
DOI:
https://doi.org/10.2478/auseme-2019-0001
Keywords
Induction motor
,
defect
,
pattern recognition
,
SVM
,
HOG
,
classification
,
detection
© 2019 Samia Benzahioul et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Samia Benzahioul
Department of Mechanical Engineering, Faculty of Technology, University of August
Skikda, Algeria
Abderrezak Metatla
Department of Mechanical Engineering, Faculty of Technology, University of August
Skikda, Algeria
Adlen Kerboua
Department of Mechanical Engineering, Faculty of Technology, University of August
Skikda, Algeria
Dimitri Lefebvre
Department of Electrical Engineering, Faculty of Sciences and Technologies, University of Le Havre
France
Riad Bendib
Department of Mechanical Engineering, Faculty of Technology, University of August
Skikda, Algeria