Cited by 22Structural Health Monitoring TechniquesMachine Fault Diagnosis TechniquesWave and Wind Energy Systems

Structural performance degradation identification of offshore wind turbines based on variational mode decomposition with a Grey Wolf Optimizer algorithm

Ji, Xiang, Tian, Zhe, Song, Hong, Liu, Fushun·2022·Ocean Engineering

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Crossref · 10.1016/j.oceaneng.2022.111449

Cites

40 of 40 references verified0 citation errors · 0 not checkable

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Authors
Ji, X., Tian, Z., Song, H., & Liu, F.
Affiliations
Ocean University of China (CN)
Corresponding author
  • Tian, Zhe
  • Song, Hong
Venue
Ocean Engineering
Publisher
Elsevier BV
Published
2022-07
Volume
256
Pages
111449
ISSN
0029-8018 (ISSN-L)
OpenAlex
W4280625324
Cited by
22
References
40
Citations by year
2026: 5 · 2025: 4 · 2024: 7 · 2023: 5 · 2022: 1
FWCI
1.91
Type
journal article
Language
en
Open access
closed
Locations
Ocean Engineering (publishedVersion)
Funders
  • National Natural Science Foundation of China
  • National Outstanding Youth Science Fund Project of National Natural Science Foundation of China (52125106)
  • National Natural Science Foundation of China-Shandong Joint Fund (U1806229)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
  • Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
  • Physical Sciences › Engineering › Ocean Engineering › Wave and Wind Energy Systems
Keywords
offshore wind turbines, variational mode decomposition, grey wolf optimizer, VMD parameter optimization, sensor fusion, typhoon impacts, structural safety assessment, field measurements

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