A Fault Diagnosis Model of Power Transformers Based on Dissolved Gas Analysis Features Selection and Improved Krill Herd Algorithm Optimized Support Vector Machine

A Fault Diagnosis Model of Power Transformers Based on Dissolved Gas Analysis Features Selection and Improved Krill Herd Algorithm Optimized Support Vector Machine

In this paper, a set of dissolved gas analysis (DGA) new feature combinations is selected as input from the mixed DGA feature quantity, and an improved krill herd (IKH) algorithm optimized support vector machine (SVM) transformer fault diagnosis model is established to solve the problem that the sin...

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Bibliographic Details
Main Authors: Yiyi Zhang, Xin Li, Hanbo Zheng, Huilu Yao, Jiefeng Liu, Chaohai Zhang, Hongbo Peng, Jian Jiao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Power transformers
fault diagnosis
support vector machine
improved krill herd algorithm
DGA feature
Online Access:https://ieeexplore.ieee.org/document/8756023/

Internet

https://ieeexplore.ieee.org/document/8756023/

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