Oil Analysis Particle Counter

LaserNet 200 Series

Part Number: Q200
The LaserNet 200 Series is an advanced, automated particle analysis system designed to detect, classify, and image wear debris in used oils. Utilizing laser imaging and sophisticated software, the system not only counts particles according to ISO 4406 but also provides insight into machine wear conditions by identifying particle types (ferrous, non-ferrous, fibers, etc.). It is ideal for predictive maintenance programs in industrial and military applications.
Particle Analyzer

The LaserNet 200 Series is a powerful and fully automated particle analyzer that enables reliability professionals to assess machinery health quickly and accurately. By testing only a few milliliters of oil or hydraulic fluid, users can detect wear debris and contamination, visualize the types and sizes of particles, and evaluate overall machine condition—all within just minutes.

This system is designed to go beyond traditional particle counters by delivering both quantitative and qualitative analysis through high-resolution laser imaging. It offers more than just a number; it gives visual proof of what's happening inside the machine.

Key Features
ISO 4406 cleanliness code reporting

Ferrous Wear Severity Index (FWSI)

Laser imaging of individual particles

Wear mode classification: cutting, sliding, fatigue

Non-metallic particle detection

High throughput: ~2 minutes per sample

Integration with condition monitoring software like iLube and TruVu 360

These features make the LaserNet 200 a comprehensive tool for condition-based maintenance programs and failure prevention.

Automatic shape classification features
Unlike basic particle counters, the LaserNet 200 doesn’t just count—it understands. Through advanced laser imaging, the system captures real-time images of each particle and uses AI-based shape recognition to classify debris into wear categories.

The system identifies:

Ferrous vs. non-ferrous metals

Large cutting particles (severe wear)

Sliding wear (thin flakes)

Rolling fatigue particles (gears, bearings)

Fibers, dirt, and non-metallic contaminants

This classification allows users to not only know there is a problem—but understand what kind of problem it is, and where it likely comes from.

False Alarm Reduction
One of the common issues with traditional particle counters is false alarms caused by harmless fibers, water droplets, or air bubbles. The LaserNet 200 eliminates these by using shape recognition and visual validation. You don’t just get an alarm—you see what triggered it.

This helps maintenance teams avoid unnecessary interventions and focus only on real risks.

Real Particle Imaging
Each particle is captured in high resolution and saved in the analysis report. These images can be reviewed for manual verification or archived for trend comparison. This visual history is a major asset in predictive maintenance.

Integrated Diagnostics and Software Support
LaserNet 200 works seamlessly with diagnostic software like iLube and TruVu 360, where results are interpreted, visualized, and translated into actionable maintenance plans. From raw data to a full diagnostic report with recommendations—it’s a complete analytical ecosystem.

Specification Value
Particle Size Range 20 – 100 µm
Particle Count Range Up to 20,000 particles/mL
Sample Volume Required Approx. 10 mL per test
Analysis Time ~2 minutes per sample
Imaging Technology High-resolution real-time laser imaging
Output Parameters ISO 4406 code, total count, wear classification, FWSI, particle images
Wear Classification Types Cutting, Sliding, Rolling Fatigue, Non-metallic, Fibers
Supported Fluid Types Lubricants, hydraulic oils, turbine oils, engine and gear oils
Communication Interfaces Ethernet, USB
Software Compatibility TruVu 360, iLube, custom LIMS integration
Calibration Method Factory-calibrated; verification with standards available
Operating Temperature Range 15°C – 35°C
Power Requirements 100–240 V AC, 50/60 Hz
Dimensions (L x W x H) Approx. 18 x 24 x 20 in (457 x 610 x 508 mm)
Weight Approx. 65 lbs (29.5 kg)
Pdf

Datasheet

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