Vibration-based health monitoring of aero-engine bearings

基于振动的航空发动机轴承健康监测

• 批准号: LP180101161
• 负责人: Em/Prof Robert Randall
• 金额: $ 13.65万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-02-04 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP180101161
• 关键词: Vibration; based; health; monitoring; aero

This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating conditions. A bearing degradation model will estimate the remaining useful life. Since rolling element bearings are among the most critical components in most machines, the results of this research will also provide massive benefits in other sectors such as mining, transportation, energy production and manufacturing.

该项目将开发新的基于振动的技术，以大大提高飞行中测量的航空发动机轴承故障的检测和诊断。为了实现这一目标，将取得进展的源分离算法，以提取微弱的轴承信号，和信号处理技术，以提取特征诊断轴承故障的严重程度和润滑条件下，在广泛的操作条件。轴承退化模型将估计剩余使用寿命。由于滚动轴承是大多数机器中最关键的部件之一，因此这项研究的结果也将为采矿、运输、能源生产和制造等其他行业带来巨大的好处。