A Noise‐assisted Empirical Mode Decomposition based Hybrid Fault Diagnosis Method and Comparative Analysis for Wind Power Converters

Authors

Ping Hu (ORCID: https://orcid.org/0000-0003-1713-063X)
Ke Zhang (ORCID: https://orcid.org/0000-0001-6788-1170)
Jinhui Wang (ORCID: https://orcid.org/0000-0001-7024-3313)
Zheng Wei (ORCID: https://orcid.org/0000-0001-5962-5898)
Yuwei Lei

Institutions

Northwestern Polytechnical University (CN)
Khalifa University of Science and Technology (AE)
Shaanxi Polytechnic University (CN)
Shaanxi Institute of Zoology (CN)
Qatar University (QA)

Publication Details

Journal: IET Electric Power Applications
Published: 2025-12-12
DOI: https://doi.org/10.1049/elp2.12334
Primary Topic: Machine Fault Diagnosis Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

A Noise‐assisted Empirical Mode Decomposition based Hybrid Fault Diagnosis Method and Comparative Analysis for Wind Power Converters

Ping Hu, Ke Zhang, Jinhui Wang, Zheng Wei et al.

Dec 12, 2025

IET Electric Power Applications

Machine Fault Diagnosis Techniques

article

A Noise‐assisted Empirical Mode Decomposition based Hybrid Fault Diagnosis Method and Comparative Analysis for Wind Power Converters

Ping Hu, Ke Zhang, Jinhui Wang, Zheng Wei, Yuwei Lei

December 12, 2025article en

Abstract

No abstract available for this paper.

IET Electric Power Applications

Northwestern Polytechnical University (CN), Khalifa University of Science and Technology (AE), Shaanxi Polytechnic University (CN), Shaanxi Institute of Zoology (CN), Qatar University (QA)

Openalex Percentile: Top 51%

Machine Fault Diagnosis Techniques

DOI Open Access PDF OpenAlex

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