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Signal analysis and feature generation for pattern identification of partial discharges in high-voltage equipment

Author
PERPINAN, O1 ; SANCHEZ-URAN, M. A1 ; ALVAREZ, F1 ; ORTEGO, J1 ; GARNACHO, F1
[1] Electrical Engineering Department, EUITI-UPM, Ronda de Valencia 3, 28012 Madrid, Spain
Source

Electric power systems research. 2013, Vol 95, pp 56-65, 10 p ; ref : 33 ref

CODEN
EPSRDN
ISSN
0378-7796
Scientific domain
Electrical engineering
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Clustering Feature generation Partial discharge Prony method Visualization tools Wavelet variance
Keyword (fr)
Algorithme Analyse signal Classification automatique Décharge partielle Evaluation performance Haute tension Réflexion onde Traitement signal Transformation ondelette
Keyword (en)
Algorithm Signal analysis Automatic classification Partial discharge Performance evaluation High voltage Wave reflection Signal processing Wavelet transformation
Keyword (es)
Algoritmo Análisis de señal Clasificación automática Descarga parcial Evaluación prestación Alta tensión Reflexión onda Procesamiento señal Transformación ondita
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D05 Electrical engineering. Electrical power engineering / 001D05B Testing. Reliability. Quality control

Discipline
Electrical engineering. Electroenergetics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
26736493

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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