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

振动分析在齿轮磨损建模和预测中的新作用

• 批准号: DP160103501
• 负责人: Em/Prof Robert Randall
• 金额: $ 26.97万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-04-06 至 2019-04-05
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160103501
• 关键词: new; role; vibration; analysis; gear

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.

该项目旨在改进齿轮剩余使用寿命的预测。齿轮广泛应用于工业和运输业。该项目旨在整合齿轮状态监测的两种主要方法，振动和油液分析，并根据测量的磨屑和振动不断更新摩擦学和动力学模型，进行基于模型的磨损预测。新的信号处理工具应允许相对较弱的摩擦力，以前被忽视的估计，作为一个重要的预测工具。这将允许详细的根本原因分析和剩余使用寿命的预测。通过消除不可预见的灾难性故障并优化维护计划，齿轮预测的改进将带来安全和经济效益。