Projects funded by the NCN
Non-classical Approaches for Condition Monitoring and Fault Detection of Wind Turbines
2023/51/B/ST8/01253
Keywords:
renewable energy wind energy wind turbine condition monitoring fault detection SCADA machine learning deep learning transfer learning nonparametric statistical models
Descriptors:
- ST8_5: Power systems (production, distribution)
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Panel:
ST8 - Production and processes engineering: modelling, product design, process design and control, construction methods and engineering, power units and systems
Host institution :
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Inżynierii Mechanicznej i Robotyki
woj. małopolskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 5
Call: OPUS 26 - announced on 2023-09-18
Amount awarded: 801 093 PLN
Project start date (Y-m-d): 2024-08-12
Project end date (Y-m-d): 2027-08-11
Project duration:: 36 months (the same as in the proposal)
Project status: Pending project
Project description
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Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.