Integrative fault diagnostic analytics in transformer windings: Leveraging logistic regression, discrete wavelet transform, and neural networks.
- DOI
- 10.1016/j.heliyon.2025.e42872
- Published
- 2025 Feb 28
- Container
- Heliyon
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.heliyon.2025.e42872,
title = {Integrative fault diagnostic analytics in transformer windings: Leveraging logistic regression, discrete wavelet transform, and neural networks.},
author = {Baroumand S and Abbasi AR and Mahmoudi M},
year = {2025},
journal = {Heliyon},
doi = {10.1016/j.heliyon.2025.e42872},
url = {https://doi.org/10.1016/j.heliyon.2025.e42872}
}RIS
TY - JOUR TI - Integrative fault diagnostic analytics in transformer windings: Leveraging logistic regression, discrete wavelet transform, and neural networks. AU - Baroumand S AU - Abbasi AR AU - Mahmoudi M PY - 2025 JO - Heliyon DO - 10.1016/j.heliyon.2025.e42872 UR - https://doi.org/10.1016/j.heliyon.2025.e42872 ER -
APA
S, B., AR, A., & M, M. (2025). Integrative fault diagnostic analytics in transformer windings: Leveraging logistic regression, discrete wavelet transform, and neural networks.. Heliyon. https://doi.org/10.1016/j.heliyon.2025.e42872
Source records
- pubmed · retrieved 2026-09-25T12:40:03.814Z