An efficient partial discharge pattern recognition method using texture analysis for transformer defect models-Reference-Cited by-同舟云学术

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An efficient partial discharge pattern recognition method using texture analysis for transformer defect models

Published:2018-02-13 Issue:7 Volume:28 Page:e2558
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Rostaminia Reza¹^ORCID,Saniei Mohsen¹,Vakilian Mehdi²,Mortazavi Seyyed Saeedollah¹,Parvin Darabad Vahid³

Affiliation:

1. Faculty of Engineering; Shahid Chamran University of Ahvaz; Ahvaz Iran

2. Center of Excellence in Power System Management & Control, Electrical Engineering Department; Sharif University of Technology; Tehran Iran

3. Department of Electrical Engineering; Golestan University; Gorgan Iran

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Reference27 articles.

1. PD source recognition by Weibull processing of pulse-height distributions;Contin;IEEE Trans Dielectr Electr Insul,2000

2. PD recognition by means of statistical and fractal parameters and a neural network;Candela;IEEE Trans Dielectr Electr Insul,2000

3. Trends in partial discharge pattern classification: a survey;Sahoo;IEEE Trans Dielectr Electr Insul,2005

4. Partial discharges: their mechanism, detection and measurement;Bartnikas;IEEE Trans Dielectr Electr Insul,2002

5. Neural network as a tool for recognition of partial discharges;Gulski;IEEE Trans Electr Insul,1993

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1. Ultrasonic localization method based on Chan‐WLS algorithm for detecting power transformer partial discharge faults by fibre optic F‐P sensing array;High Voltage;2024-07-19

2. Phase-Resolved Partial Discharge (PRPD) Pattern Recognition Using Image Processing Template Matching;Sensors;2024-05-31

3. Feature Extraction of Partial Discharge Signal Based on Local Mean Decomposition and Multi-scale Singular Spectrum Entropy;Journal of The Institution of Engineers (India): Series B;2024-01-19

4. A Comprehensive Review of Signal Processing and Machine Learning Technologies for UHF PD Detection and Diagnosis (II): Pattern Recognition Approaches;IEEE Access;2024

5. Multitargets Joint Training Lightweight Model for Object Detection of Substation;IEEE Transactions on Neural Networks and Learning Systems;2022

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