Fault Diagnosis of Oil-Immersed Power Transformer Based on Difference-Mutation Brain Storm Optimized Catboost Model

Fault Diagnosis of Oil-Immersed Power Transformer Based on Difference-Mutation Brain Storm Optimized Catboost Model

To address the problem of low accuracy of power transformer fault diagnosis, this study proposed a transformer fault diagnosis method based on DBSO-CatBoost model. Based on data feature extraction, this method adopted DBSO (Difference-mutation Brain Storm Optimization) algorithm to optimize CatBoost...

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Bibliographic Details
Main Authors: Mei Zhang, Wanli Chen, Yu Zhang, Fei Liu, Dongshun Yu, Chaoyin Zhang, Li Gao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Power transformer
fault diagnosis
catboost model
DBSO algorithm
feature extraction
Online Access:https://ieeexplore.ieee.org/document/9648323/

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