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 ...

A contemporary approach to researching scattered particles employs particle detectors, which detect individual particles impinging upon them. This device provides an efficient and economical solution ...

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 ...

The Coulter Principle is the reference method for studying particle size and dynamics, which is based on measurable variations in electrical impedance that is produced by non-conductive particles in ...

The hunt for new physics is back on. The world’s most powerful machine for smashing high-energy particles together, the Large Hadron Collider (LHC), has fired up after a shutdown of more than three ...