Hybrid Model of Power Transformer Fault Classification Using C-set and MFCM – MCSVM

Hybrid Model of Power Transformer Fault Classification Using C-set and MFCM – MCSVM

This paper aims to increase the diagnosis accuracy of the fault classification of power transformers by introducing a new off-line hybrid model based on a combination subset of the et method (C-set) & modified fuzzy C-mean algorithm (MFCM) and the optimizable multiclass-SVM (MCSVM). The i...

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Bibliographic Details
Main Authors: Ali Abdo, Hongshun Liu, Yousif Mahmoud, Hongru Zhang, Ying Sun, Qingquan Li, Jian Guo
Format: Article
Language:English
Published: China electric power research institute 2024-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Combination subset of set (C-set) method
modified fuzzy C-means (MFCM)
optimizable multiclass-SVM (MCSVM)
optimized training data (OTD)
Online Access:https://ieeexplore.ieee.org/document/9682676/

Internet

https://ieeexplore.ieee.org/document/9682676/

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