Partial discharge classification using principal component transformation
Author:
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://digital-library.theiet.org/content/journals/10.1049/ip-smt_20000074?crawler=true&mimetype=application/pdf
Reference13 articles.
1. Automized Recognition of Partial Discharges in Cavities
2. Computer-aided recognition of discharge sources
3. Classification of partial discharges
4. Development of computer-based measurements and their application to PD pattern analysis
5. A Theoretical Comparison of Texture Algorithms
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1. Robust Feature Extraction and Classification of Acoustic Partial Discharge Signals Corrupted With Noise;IEEE Transactions on Instrumentation and Measurement;2017-03
2. Feature extraction of GIS partial discharge signal based on S‐transform and singular value decomposition;IET Science, Measurement & Technology;2017-03
3. High noise tolerance feature extraction for partial discharge classification in XLPE cable joints;IEEE Transactions on Dielectrics and Electrical Insulation;2017-02
4. Accurate power transformer PD pattern recognition via its model;IET Science, Measurement & Technology;2016-10
5. An efficient diagnosis method for data mining on single PD pulses of transformer insulation defect models;IEEE Transactions on Dielectrics and Electrical Insulation;2013-12
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