A data-physics hybrid driven fault identification model integrating multivariate fault information of wind farm

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2026-01-01
DOI
https://doi.org/10.1016/j.ijepes.2025.111508
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

A data-physics hybrid driven fault identification model integrating multivariate fault information of wind farm

Zihao Wang, Jiaze Yang, Tong Wang, Zexin Zhou
International Journal of Electrical Power & Energy Systems
Power Systems Fault Detection
article

A data-physics hybrid driven fault identification model integrating multivariate fault information of wind farm

Zihao Wang, Jiaze Yang, Tong Wang, Zexin Zhou
article en

Abstract

No abstract available for this paper.
International Journal of Electrical Power & Energy SystemsVol. 174
North China Electric Power University (CN), China Electric Power Research Institute
Affordable and clean energy
Openalex Percentile: Top 96%
Power Systems Fault Detection
DOIOpen Access PDFOpenAlex
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A data-physics hybrid driven fault identification model integrating multivariate fault information of wind farm — Zihao Wang, Jiaze Yang, et al. · International Journal of Electrical Power & Energy Systems (2026) | TGRS Research Map | TGRS