Multifunctional Intelligent Video Wear Particle Analyzer - SKA JW-IAP100
| Serial number | Parameter items | Parameter Values |
|---|---|---|
| 1 | Dimensions (including packaging box) | ≤ 280*245*180mm |
| 2 | Viscosity range | <650cst |
| 3 | Particle detection range | 1~400um |
| 4 | Particle concentration | <10000000 particles/mL |
| 5 | Wear particle imaging size | 50~500 μm |
Product Introduction
At present, wear particle image segmentation algorithms mainly focus on removing interference and processing transmitted light images, while problems such as high-brightness and low-brightness wear particles and overlapping wear particles in reflected light images remain difficult. Using temporal information in video sequences provides new ideas for wear particle image processing.
In-depth research on wear particle analysis in oil requires further exploration of issues such as contamination level and changes in particle flow rate. By calculating the size and quantity of wear particles, the concentration distribution and variation trend of wear particles in oil can be obtained, accurately reflecting the degree of oil contamination and the wear condition of mechanical equipment.
Online oil wear particle image processing technology. Building on offline ferrography technology, it incorporates a visualization process and processes data synchronously via computer, achieving real-time monitoring of equipment wear conditions. This progress marks the core breakthrough and challenge of online ferrography technology. With in-depth research by researchers, ferrography image processing technology is gradually evolving from primary wear particle extraction to fine detection of features such as wear particle size, concentration, morphology, and texture. Oil wear particle image processing technology is steadily maturing.
SKA JW-IAP100 SeriesThe Multifunctional Intelligent Video Wear Particle Analyzer integrates advanced technology and focuses on monitoring the wear status and lubricating oil contamination of mechanical propulsion systems such as engines and gearboxes, enabling predictive maintenance.
Main Application Areas
- Predictive Maintenance — Real-time monitoring of wear debris in lubricating oil to detect equipment degradation early and schedule maintenance before failure.
- Power Generation — Condition monitoring of turbines, generators and gearboxes by analyzing wear particles in oil for reliable power plant operation.
- Marine and Offshore — Monitoring wear in ship engines, hydraulic systems and offshore equipment to prevent costly breakdowns in remote environments.
- Manufacturing and Heavy Industry — Oil debris analysis for compressors, presses and production machinery to extend equipment life and reduce unplanned downtime.
- Aerospace and Defense — Precision wear particle analysis for aircraft engines and hydraulic systems where safety and reliability are critical.
Keywords：wear particle analyzer, oil debris analyzer, video wear particle analyzer, oil condition monitoring, ferrography analyzer, particle count analyzer, machine wear detection, lubricant analysis instrument
