Dynamic model assisted fault diagnostics of wind turbine gearbox

该项目旨在为大型水平轴风力涡轮机的齿轮箱开发新的状态监测方法，这些风力涡轮机广泛安装在风力发电场中，用于产生可再生能源。该项目预计将通过集成动态模型辅助模拟和基于数字孪生的方法来生成一个新的诊断框架。该项目的预期成果包括用于故障诊断和预测涡轮机齿轮箱剩余使用寿命的新的基于振动的方法。这将通过确保风力涡轮机的可靠运行、减少涡轮机停机时间并降低运营和维护成本，为澳大利亚风力发电行业带来重大利益;最终降低风能成本。

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