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Oil Analysis
Wear Particle Analysis
Wear Particle Image Acquisition & Intelligent Analysis System
Part #:
PN-3879
This advanced system is a cutting-edge solution for modern Ferrography and oil condition monitoring. By integrating high-resolution microscopic imaging with sophisticated AI algorithms, the software automates the identification, classification, and quantification of wear particles in lubricating oils. It eliminates the subjectivity of manual inspection, allowing maintenance teams to identify specific failure modes—such as fatigue, abrasion, or corrosion—at their earliest stages, significantly extending machinery life and preventing catastrophic failures.
AI-Driven Recognition
Automatically classifies wear particles into categories: Fatigue, Cutting, Sliding, Abrasive, and Spheres.
High-Definition Acquisition
Seamlessly captures crystal-clear microscopic images using industrial-grade digital cameras.
Morphological Analysis
Calculates critical parameters like Equivalent Diameter, Aspect Ratio, and Area for every particle detected.
Standard Compliance
Generates cleanliness reports in accordance with ISO 4406, NAS 1638, and ASTM standards.
Efficient Workflow
Reduces analysis time by up to 70% compared to traditional manual microscopy.
Comprehensive Database
Built-in history management for trending analysis and long-term machinery health tracking.
| Specification | Value |
|---|---|
| Image Sensor Support | High-resolution CMOS/CCD Industrial Cameras (USB 3.0/GigE). |
| Magnification Range | Optimized for 40x to 1000x optical magnification. |
| Detection Accuracy | Capable of detecting and analyzing particles down to the sub-micron level (depending on microscope optics). |
| Analysis Algorithms | Advanced Neural Network-based image segmentation and feature extraction. |
| Input Compatibility | Compatible with traditional Ferrograms, Filter Patches (Patch-Ferrography), and Particle Slides. |
| Output Formats | Automated professional reports in PDF, Microsoft Word, and Excel. |
| Operating System | Fully compatible with Windows 10/11 (64-bit). |