Oil contamination level(Particle counting)

Q200Based on the principle of direct imaging, project the geometric morphology of each pollutant particle onto a high-resolution imaging device（CCD）=The built-in artificial neural network algorithm directly obtains the geometric shape of each pollutant particle and calculates its area and equivalent circle diameter（ISO 11171Standard). Built in softwareNAS1638andISO 4406By meeting all pollution assessment standards, the pollution level of the oil can be directly displayed. UserYou can also define your own pollution assessment standards.

Classification of abrasive particle morphology(Intelligent ferrography function)

Q200Can directly capture the morphology image of abrasive particles and use artificial neural network technology to count and classify them (greater than)20umParticles are automatically classified into cutting wear, contact wear, fatigue wear, non-metallic abrasive particles, fibers, water droplets, bubbles, and other types, allowing operators to determine the type of abrasive particles, wear mode, and potential sources of wear on internal components of the machine.

Monitoring of ferromagnetic particles (iron meter)+Ferromagnetic particle counter

The detection of ferromagnetic particles is an important part of equipment condition monitoring,LNFHigh sensitivity magnetic sensors can be embedded, which can simultaneously detect the concentration of ferromagnetic particles while performing particle counting and abrasive particle classification（ppm）And25umThe total number and size distribution of ferromagnetic particles mentioned above.

wholemodel:

SpectroLNF Q210Particle counter

SpectroLNF Q220Multi functional abrasive particle analyzer (particle counting)+Intelligent classification of abrasive particles

SpectroLNF Q230Multi functional abrasive particle analyzer (particle counting)+Intelligent classification of abrasive particles+Ferromagnetic abrasive particle detection）

Characteristics of abrasive particle analyzer

Øaccord withASTMD7596

ØAdopting the mostTop notchofLaserNetFinesArtificial Neural Network Technology

ØParticle counting

ØMorphological analysis

ØFerromagnetic monitoring

ØSimultaneously multipleparametertesting

ØTest speedfast

ØAccurate data

ØNo calibration required

ØTrend analysis of built-in abrasive particles

Øbuilt-inISO4406

Øbuilt-inNAS1638

Typical applications

ØVery dirty oil sampleØHighly polluted oil sampleØGearboxØEngine oilØturbineØHydraulic system

Q200Multi functional abrasive particle analyzer optional accessories