A Comprehensive Review of Transformer Winding Diagnostics: Integrating Frequency Response Analysis with Machine Learning Approaches
Frequency Response Analysis (FRA) is a proven method for detecting mechanical faults in transformers, such as winding deformations and short circuits. However, traditional FRA interpretation relies heavily on visual and subjective comparison of frequency response curves, which can introduce human bi...
Saved in:
| Main Authors: | Meysam Beheshti Asl, Issouf Fofana, Fethi Meghnefi, Youssouf Brahami, Joao Pedro Da Costa Souza |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/5/1209 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Thermal and Electrical Fault Diagnosis in Oil–Paper Insulation System: A Comparative Study of Natural Esters and Mineral Oil
by: Youssouf Brahami, et al.
Published: (2025-07-01) -
Winding Fault Detection in Power Transformers Based on Support Vector Machine and Discrete Wavelet Transform Approach
by: Bonginkosi A. Thango
Published: (2025-05-01) -
Comprehensive experimental study on a wound-rotor asynchronous machine fault detection through frequency response analysis
by: Reza Khalili Senobari, et al.
Published: (2025-09-01) -
Development of a Comprehensive Model for Drying Optimization and Moisture Management in Power Transformer Manufacturing
by: Youssouf Brahami, et al.
Published: (2025-02-01) -
Electrical Diagnosis Techniques for Power Transformers: A Comprehensive Review of Methods, Instrumentation, and Research Challenges
by: Peter Mwinisin, et al.
Published: (2025-03-01)