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Transformer winding faults classification based on transfer function analysis by support vector machine

Author
BIGDELI, M1 ; VAKILIAN, M2 ; RAHIMPOUT, E3
[1] Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran, Islamic Republic of
[2] Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran, Islamic Republic of
[3] Power Products Division, Transformers, ABB AG, Bad Honnef, Germany
Source

IET electric power applications (Print). 2012, Vol 6, Num 5, pp 268-276, 9 p ; ref : 38 ref

ISSN
1751-8660
Scientific domain
Electrical engineering
Publisher
Institution of Engineering and Technology, London
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Apprentissage Classification automatique Court circuit Détection défaut Enroulement machine Enroulement transformateur Etude comparative Extraction caractéristique Fonction transfert Machine vecteur support Transformateur
Keyword (en)
Learning Automatic classification Short circuit Defect detection Machine windings Transformer windings Comparative study Feature extraction Transfer function Support vector machine Electric transformer
Keyword (es)
Aprendizaje Clasificación automática Cortocircuito Detección imperfección Estudio comparativo Función traspaso Máquina vector soporte Transformador eléctrico
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D05 Electrical engineering. Electrical power engineering / 001D05B Testing. Reliability. Quality control

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D05 Electrical engineering. Electrical power engineering / 001D05E Transformers and inductors

Discipline
Electrical engineering. Electroenergetics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
25943740

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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