Digital imaging Particle Counters
Particle Pal Pro
Utilising Digital Imaging
S120 Digital Imaging Particle Counter
Get a deeper insight into oil health
The revolutionary new Digital Imaging particle counting technique gives unprecedented insight into the type and quantity of contamination in any given oil or diesel fuel sample. ISO/NAS/SAE counts as well as a broader micron range, shape recognition, bubble elimination and the ability to handle higher viscosities.
This breakthrough technology uses advanced algorithms to calculate the size and shape of particulate on images taken at between 2 & 4 frames/second. The technology also gives root cause shape recognition to the particulate in live systems or bottle samples of any oil. Special algorithms and AI analyse images on the fly with a resolution of 2 microns up to several hundred microns. High-resolution images are saved for further analysis and reporting such as the one above.
Particles are counted and categorised into Fatigue, Sliding or Cutting Wear. Air Bubbles and Water Droplets are counted and then eliminated from the counts making this suitable for live testing or permanent installation on systems where air is present such as large gearboxes. In addition, anti-foaming additives such as polydimethylsiloxane are not counted as particles by digital imaging, this is a major advantage over Laser Particle counters which see's the micelle-like formations created by this additive as contamination, these are phantom particles, often resulting in particle counts being raised by 2 to 3 ISO codes, especially the 4 and 6 micron channels.
Filtertechnik supply the S120 counter as a stand-alone particle counter for integration into live systems for 24/7 monitoring. Alternatively, we have developed a range of portable oil analysis cases designed to give on the spot oil analysis and a deep understanding of the type and quantity of contamination in any given oil sample. Built-in software takes readings from the new digital imaging technology and presents Engineers with an easy to understand analysis including images of contamination in the oil sample.