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 ...

The following article talks about a new machine condition measurement system which integrates particle count data and elemental analysis information in two closely interlinked measurement phases. This ...

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 ...

Discover why researchers in high-energy physics rely on the GaGe RazorMax Express—an efficient, high-performance digitizer.

To count white and red blood cells, the method traditionally used is the electrozone sensing technique. This method measures the increase in resistance, or in other words, the decrease in conductivity ...

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 ...

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 ...