Structural performance degradation identification of offshore wind turbines based on variational mode decomposition with a Grey Wolf Optimizer algorithm
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VMD is a time-frequency analysis strategy for analyzing non-stationary and nonlinear signals based on decomposing the original signal into several sets of intrinsic mode functions.
“VMD is a time-frequency analysis strategy for analyzing non-stationary and nonlinear signals based on decomposing the original signal into several sets of intrinsic mode functions (IMF) [53,263].”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [263]
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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
- Licence
- 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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