Application of extension theory to PD pattern recognition in high-voltage current transformers

This paper presents a novel partial-discharge (PD) recognition method based on the extension theory for high-voltage cast-resin current transformers (CRCTs). First, a commercial PD detector is used to measure the three-dimensional (3-D) PD patterns of the high-voltage CRCTs, then three data preproce...

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Bibliographic Details
Published in:IEEE transactions on power delivery 2005-07, Vol.20 (3), p.1939-1946
Main Authors: WANG, Mang-Hui, HO, Chih-Yung
Format: Article
Language:English
Subjects:
Applied sciences
Current transformers
Current transformers (CTs)
Data mining
Data preprocessing
Defects
Detectors
Electrical engineering. Electrical power engineering
Exact sciences and technology
extension theory
Feature extraction
Mathematical models
matter-element model
Multi-layer neural network
Multilayers
Neural networks
partial discharge (PD)
Partial discharges
Pattern recognition
Preprocessing
Recognition
Testing
Testing. Reliability. Quality control
Transformers
Transformers and inductors
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Summary:This paper presents a novel partial-discharge (PD) recognition method based on the extension theory for high-voltage cast-resin current transformers (CRCTs). First, a commercial PD detector is used to measure the three-dimensional (3-D) PD patterns of the high-voltage CRCTs, then three data preprocessing schemes that extract relevant features from the raw 3-D-PD patterns are presented for the proposed PD recognition method. Second, the matter-element models of the PD defect types are built according to PD patterns derived from practical experimental results. Then, the PD defect in a CRCT can be directly identified by degrees of correlation between the tested pattern and the matter-element models which have been built up. To demonstrate the effectiveness of the proposed method, comparative studies using a multilayer neural network and k-means algorithm are conducted on 150 sets of field-test PD patterns of 23-kV CRCTs with rather encouraging results.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2005.848673