Elemental identification and particle count answer two key questions in oil analysis: "how many?" and "where is it coming from"?. These two measurements are the most critical in any machine condition ...

Keep an eye on contamination to ensure long life and peak performance. One important factor in ensuring reliable performance of hydraulic and lubrication systems is monitoring the amount of solid ...

This article describes how the advanced LaserNet Fines (LNF) Q200 instrument in the lab offers an economical, precise alternative to conventional methods of analyzing oil debris particles. LNF offers ...

Operators of Jefferson Lab's primary particle accelerator are getting a new tool to help them quickly address issues that can prevent it from running smoothly. The machine learning system has passed ...

A team of scientists has devised a machine learning algorithm that calculates, with low computational time, how the ATLAS detector in the Large Hadron Collider would respond to the ten times more data ...

Researchers from Trinity College Dublin’s School of Engineering have built a powerful new machine that lets us watch precisely what happens when tiny particles — far smaller than a grain of sand — hit ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...