Entropy-Based Bagging for Fault Prediction of Transformers Using Oil-Dissolved Gas Data

Entropy-Based Bagging for Fault Prediction of Transformers Using Oil-Dissolved Gas Data

The development of the smart grid has resulted in new requirements for fault prediction of power transformers. This paper presents an entropy-based Bagging (E-Bagging) method for prediction of characteristic parameters related to power transformers faults. A parameter of comprehensive information en...

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Bibliographic Details
Main Authors: Weigen Chen, Jian Li, Qing Yang, Yuanbing Zheng, Caixin Sun
Format: Article
Language:English
Published: MDPI AG 2011-08-01
Series:Energies
Subjects:
entropy-based Bagging
comprehensive information entropy
resampling
fault prediction
transformer
Online Access:http://www.mdpi.com/1996-1073/4/8/1138/

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