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  • Lubricating oil/detection and analysis category
    SC-8366Z Oil Ferrography Analyzer (Intelligent Type)
    The oil ferrography analyzer is developed, designed, and manufactured based on the standard ASTM D7690. It is an advanced ferrography analysis device specifically designed for the detection of iron
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          The oil ferrography analyzer is developed, designed, and manufactured based on the standard ASTM D7690. It is an advanced ferrography analysis device specifically designed for the detection of iron-based metal wear particles in lubrication systems. The system utilizes electromagnetic excitation technology to adsorb wear particles onto the sensor surface, employs an optical imaging camera for high-precision image acquisition, and transmits data to a backend artificial intelligence image recognition algorithm for analyzing wear particles in the oil. The system is capable of real-time detection and analysis of different types of wear, such as fatigue wear, sliding wear, and cutting wear, accurately identifying the shape, size, type, and distribution of particles, and effectively distinguishing between foreign substances such as fibers and impurities. In particular, it can identify wear particles larger than 10μm in the oil, providing precise data support for equipment health monitoring, wear warning, and maintenance decision-making.

    1. Detection capability: Capable of detecting the content and concentration of wear particles in equipment engine oil, transmission oil, hydraulic oil, and gear oil, and analyzing the quantity of wear particles, as well as the size and morphology of contaminant particles.

    2. Selection criteria: viscosity, moisture content

    3. Cleaning capability: Capable of cleaning the instrument's own oil circuit

    4. Self-checking capability: Equipped with an instrument self-checking function

    5. Grain imaging size: 5-1000μm

    6. Maximum magnetomotive force (F) of abrasive deposition: 1200 AN

    7. Imaging pixel: 5 million

    8. Particle classification: fatigue wear/sliding wear/cutting wear/fiber/impurity/bubble

    9. Moisture detection: saturation 0.04-1aw, moisture content 1-10000ppm

    10. Abrasive particle spectrum sheet: The resolution of the abrasive particle spectrum sheet is 1024 ×768 pixels, with a scale bar

    11. Detection flow rate: 5~20ml/min

    12. Single test duration: ≤3min

    13. Oil sampling: aspiration

    14. Diagnostic suggestion: Implement wear state determination and autonomously generate inspection reports

    15. Instrument operation: keyboard + mouse/touch screen (optional)

    16. Data statistics management: It can perform statistical calculations and trend chart analysis of wear status based on units, equipment types, or individual equipment

    17. Human-Machine-Environment: The human-machine interaction is friendly, with a simple and intuitive interface; the functional structure of the equipment is reasonably arranged, making it easy to operate and use.

    18. Reliability: Mean time between failures ≥ 100 times

    19. Testability: It features self-checking, fault display, and post-detection maintenance prompt functions

    20. Operating mode: AC220V (always online), built-in lithium battery (continuous operation for 4 hours)

    21. Compatible fluids: hydraulic oil, gear oil, diesel engine oil, black fluids

    22. Data transmission: RS485, USB


    1. Wide applicability: The system is capable of efficiently monitoring wear particles in various types of oils, including hydraulic oil, gear oil, and diesel engine oil. Whether it is hydraulic oil and gear oil with good light transmittance or diesel engine oil with poor light transmittance, accurate wear particle image acquisition and analysis can be achieved.

    2. High-precision imaging capability: Even in the case where the light transmittance coefficient of hydraulic oil and gear oil is less than 2.0, the system is capable of acquiring clear brightfield imaging of wear particle spectra, and clearly identifying the morphological characteristics of small wear particles, wear particle chains, and larger wear particles in different oil samples.

    3. Ability to adapt to highly attenuated oils: In oils with low light transmittance, such as diesel engine oil, and an attenuation coefficient greater than 5.0, the system can effectively utilize dark field imaging technology to accurately capture wear particle images. This ensures that even if the oil becomes blackened due to factors such as oxidation and carbon buildup, clear reflectance spectral images can still be obtained.

    4. Powerful spectral analysis function: Through imaging of reflective spectral slices, the system can accurately analyze the characteristics of wear particles in the oil, including key parameters such as particle size, shape, and distribution, providing precise data support for equipment fault diagnosis and early warning.

    5. Efficient oil monitoring: This microscopic imaging system not only operates stably in various oils but also provides real-time and precise wear particle monitoring results, assisting users in equipment maintenance and wear prediction, thereby effectively enhancing production efficiency and equipment safety. The sensor flow channel cross-sectional area is ≥6mm; the optical magnification for wear particles is ≥3.

    6. Exportable intelligent wear analysis system - detection report: core wear indicators, particle size distribution, etc.


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