XRF Condition Monitoring of Oil Lubricated Machines

该项目开发的技术（称为LCM）使用X射线荧光光谱法（XRF）来测量机油滤清器中捕获的微观摩擦碎片的元素组成和丰度。它还可以测量润滑剂的成分，这些成分也会随着磨损而变化。这些数据可用于预测即将发生的故障、针对性预防性维护、诊断故障并确保机器的最佳运行。LCM可用于任何带滤油器的油润滑机器。该项目将构建一个功能齐全的LCM演示版，证明它可以在真实的运行机械上真实的现场运行，并准备将其推向市场。预测即将发生的故障并提供机油磨损和机器磨损的早期预警，使操作员能够通过有针对性的预防性维护避免停机。最佳操作和防止故障可能是利润和损失之间的区别。在安全关键系统中，检测即将发生的故障可以挽救生命。因此，操作员将大量时间、金钱和精力投入到状态监测中。LCM是英国发明的一种新型系统。

The technology (called LCM) to be developed in this project uses X-ray fluorescence spectroscopy (XRF) to measure the elemental composition and abundances of microscopic tribological debris caught in machine oil filters. It also measures the composition of the lubricant which also changes with wear. These data can be used to predict impending failure, target preventative maintenance, diagnose faults, and ensure optimum machine operation. LCM can be used on any oil lubricated machine with an oil filter. This project will build a fully functional demonstrator version of LCM, prove that it can operate in situ in real time on real running machinery, and prepare to bring it to market.Predicting impending failure and providing early warning of oil wear and machine wear enables operators to avoid downtime by targeting preventative maintenance. Optimum operation and preventing failure can be the difference between profit and loss. In safety critical systems detecting impending failures can save lives. As such, operators dedicate much time, money, and effort to condition monitoring. LCM is a novel system invented in the UK.