The Optimal Classification of Partial Discharge Defects within XLPE Cable by Using ANN and Statistical Techniques

The Optimal Classification of Partial Discharge Defects within XLPE Cable by Using ANN and Statistical Techniques

The classification of medium voltage cable defects is the most important tool to avoid the inaccurate Partial Discharge (PD) measurements. This paper presents a proposed methodology based on pattern recognition technique to classify the PD occurred in cables into two distinct groups: internal and ex...

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Bibliographic Details
Main Authors: Sobhy Dessouky, Adel El Faraskoury, Samer El-Mekkawy, Waleed El Zanaty
Format: Article
Language:English
Published: Port Said University 2014-09-01
Series:Port Said Engineering Research Journal
Subjects:
partial discharge
xlpe power cables
pattern classification
neural network
statistical features
Online Access:https://pserj.journals.ekb.eg/article_45254_c19f46cf4150d5a9c58c37e8346e454e.pdf

Internet

https://pserj.journals.ekb.eg/article_45254_c19f46cf4150d5a9c58c37e8346e454e.pdf

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