A new role for vibration analysis in gear wear modelling and prediction

该项目旨在提高对齿轮剩余使用寿命的预测。齿轮在工业和交通运输中应用广泛。该项目旨在集成齿轮状态监测、振动和油液分析两种主要方法，并根据测量的磨粒和振动进行基于模型的磨损预测和不断更新的摩擦学和动力学模型。新的信号处理工具应该能够估计以前被忽视的相对较弱的摩擦力，作为一种重要的预测工具。这将允许对剩余使用寿命进行详细的根本原因分析和预测。通过消除不可预见的灾难性故障和优化维护计划，齿轮预测的改进将具有安全和经济效益。

This project aims to improve prediction of the remaining useful life of gears. Gears are widely used in industry and transport. This project aims to integrate the two main methods of gear condition monitoring, vibration and oil analysis, and perform model-based wear prediction with the tribology and dynamic models continually updated on the basis of measured wear debris and vibration. New signal processing tools should allow estimation of relatively weak friction forces, previously neglected, as an important prognostic tool. This would allow detailed root cause analysis and prediction of remaining useful life. Improvements in gear prognosis would have safety and economic benefits by eliminating unforeseen catastrophic failures and optimising maintenance schedules.