Dynamic model assisted fault diagnostics of wind turbine gearbox

Project Member(s): Ji, J., Chen, L.

Funding or Partner Organisation: Australian Research Council (ARC Linkage Projects)
Australian Research Council (ARC Linkage Projects)
STEM Academy Pty Ltd (Australian Renewable Energy Laboratory) (STEM Academy PL)
STEM Academy Pty Ltd (Australian Renewable Energy Laboratory) (STEM Academy PL)

Start year: 2024

Summary: This project aims to develop novel fault diagnostic and prognostic methodologies for the gearbox of large horizontal-axis wind turbines which are installed in wind farms. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital-twin based methodologies. Expected outcomes of this project include new vibration-based condition-monitoring methodologies for fault diagnostics and remaining useful life predictions of wind turbine gearbox. This should provide significant benefits to the Australian Wind Industry through ensuring reliable operation of wind turbines, reducing maintenance cost and unnecessary downtime, and ultimately lowering the cost of energy generation from wind.

FOR Codes: Dynamics, vibration and vibration control, Data mining and knowledge discovery, Structural engineering , Expanding knowledge in engineering, Wind energy

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.