A novel SVM-based decision framework considering feature distribution for Power Transformer Fault Diagnosis
International Electrotechnical Commission (IEC) proposed the IEC three-ratio method based on Dissolved Gas Analysis (DGA), which is one of the most effective tools for Power Transformer Fault Diagnosis (PTFD). However, the PTFD accuracy is generally limited because the classification boundary could...
Main Authors: | Lucheng Hong, Zehua Chen, Yifei Wang, Mohammad Shahidehpour, Minghe Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722013270 |
Similar Items
-
Accuracy Improvement of Transformer Faults Diagnostic Based on DGA Data Using SVM-BA Classifier
by: Youcef Benmahamed, et al.
Published: (2021-05-01) -
Dissolved Gas Analysis and Application of Artificial Intelligence Technique for Fault Diagnosis in Power Transformers: A South African Case Study
by: Bonginkosi A. Thango
Published: (2022-11-01) -
Conventional Dissolved Gases Analysis in Power Transformers: Review
by: Alcebíades Rangel Bessa, et al.
Published: (2023-10-01) -
Comparison of Dissolved Gases in Mineral and Vegetable Insulating Oils under Typical Electrical and Thermal Faults
by: Chenmeng Xiang, et al.
Published: (2016-04-01) -
RESEARCH ON GEARBOX FAULT DIAGNOSIS BASE ON ISOMAP AND IGA-SVM
by: LIU ZhiChuan, et al.
Published: (2016-01-01)