Abstract
The purpose of this project is to predict wind turbine gearbox incipient faults using a combination of condition monitoring data. It is expected to contribute in developing a robust framework for wind turbine gearbox component incipient failure prediction and remaining useful life estimation. It further proposes a solution on how to overcome the challenges of expert knowledge based systems using AI techniques. Wind turbine operation and maintenance decision making confidence can be therefore increased.
Cite
CITATION STYLE
Koukoura, S. (2018). Failure and remaining useful life prediction of wind turbine gearboxes. In Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM. Prognostics and Health Management Society. https://doi.org/10.36001/phmconf.2018.v10i1.712
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