Towards automated statistical partial discharge source classification using pattern recognition techniques

Towards automated statistical partial discharge source classification using pattern recognition techniques

This study presents a comprehensive review of the automated classification in partial discharge (PD) source identification and probabilistic interpretation of the classification results based on the relationship between the variation of the phase-resolved PD (PRPD) patterns and the source of the PD....

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Bibliographic Details
Main Authors: Hamed Janani, Behzad Kordi
Format: Article
Language:English
Published: Wiley 2018-09-01
Series:High Voltage
Subjects:
pattern classification
transformer oil
feature extraction
partial discharges
statistical analysis
electrical engineering computing
classifier algorithms
automated classification system
pattern recognition accuracy
high-voltage insulation media
feature extraction/classier pairs
classification systems
probabilistic source identification
PD source identification
PRPD pattern
probabilistic interpretation
pattern recognition techniques
partial discharge source identification
classification results
phase-resolved PD patterns
statistical algorithms
PD sources
statistical partial discharge source
statistical feature extraction methods
Online Access:https://digital-library.theiet.org/content/journals/10.1049/hve.2018.5048

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https://digital-library.theiet.org/content/journals/10.1049/hve.2018.5048

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