New correlation features for dissolved gas analysis based transformer fault diagnosis based on the maximal information coefficient
Author:
Affiliation:
1. School of Electrical Engineering Shandong University Jinan China
2. Department of Electrical & Electronic Engineering Imperial College London South Kensington Campus London UK
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/hve2.12136
Reference34 articles.
1. Application of Parzen Window estimation for incipient fault diagnosis in power transformers;Islam M.M.;High Voltage,2018
2. Cuckoo Search Optimized NN-Based Fault Diagnosis Approach for Power Transformer PHM
3. DGALab: an extensible software implementation for DGA;Ibrahim S.I.;IET Generat. Transm. Distrib.,2018
4. Conditional probability‐based interpretation of dissolved gas analysis for transformer incipient faults;Taha I.B.M.;IET Generat. Transm. Distrib.,2017
5. Fault diagnosis of power transformers with membership degree;Li E.;IEEE Access,2019
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