Journal
ACOUSTICS AUSTRALIA
Volume 49, Issue 2, Pages 251-258Publisher
SPRINGER SINGAPORE PTE LTD
DOI: 10.1007/s40857-021-00237-2
Keywords
Wind turbine; Offshore; Drivetrain; Condition monitoring; Prognosis; Vibration; Machine learning; O& M
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Funding
- FWO (Fonds Wetenschappelijk Onderzoek) [1S47617N, 1282221N]
- Flemish Government under the Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen programme
- VLAIO Supersized 4.0 ICON project
- SIM-SBO MaSiWEC project
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The paper discusses trends in condition monitoring of modern offshore wind turbines. It gives an overview of design changes and data source availability evolution, and introduces ongoing research activities in the field along with highlighting the requirements for innovations towards prognostic frameworks, particularly in advanced signal processing.
This paper discusses trends in condition monitoring of modern offshore wind turbines. First an overview is given of design changes that have been made over the years to large offshore wind turbines and how this resulted in novel opportunities from a monitoring perspective. Similarly, the evolution in data source availability is discussed. From these opportunities, some ongoing research activities in the field are discussed and how they fit with the open challenges. This list is far from exhaustive. It gives an overview of some capita selecta. Particularly, the fields of advanced signal processing and requirement for innovations towards prognostic frameworks are highlighted.
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