油液检测颗粒度检测仪器

Poor lubrication is the main cause of wear failure in mechanical equipment, and oil monitoring includes two parts: analysis of the physical and chemical properties of the oil itself and analysis of abrasive particles in the oil. The physical and chemical performance analysis of oil includes the degradation of oil products, loss of additives, and pollution situation; The analysis of abrasive particles in oil includes the chemical composition, concentration, size, and geometric morphology of the particles. By using effective oil analysis techniques, information on the degree, type, and location of mechanical equipment wear can be obtained.

Collaborative diagnosis of multiple oil monitoring technologies

Oil analysis technology mainly includes rational and chemical index analysis technology, spectral analysis technology, ferrography analysis technology, and particle counting technology.

Analysis of physical and chemical indicators of oil

The analysis of oil physical and chemical indicators can detect changes in oil quality during equipment operation, including viscosity, acid value, moisture, flash point and ignition point, mechanical impurities, copper corrosion, emulsion resistance, etc. It is the simplest and most direct method for monitoring changes and wear of mechanical equipment oil;

Spectral analysis

The advantages of spectral analysis method lie in high monitoring efficiency, simple operation, and high sensitivity, but there are still drawbacks such as fast failure and inability to apply to large-sized wear particles;

Iron spectrum analysis

The detection results of ferrography analysis technology can directly reflect the degree of equipment wear, helping to predict the cause and location of equipment wear. However, due to the inability of this technology to analyze the types and contents of non-magnetic substances, there may be errors in the monitoring results, and it is highly dependent on the personal experience of the detection personnel;

Particle counting

The object monitored by particle counting technology is mainly the concentration and distribution of particles contained in a predetermined volume of oil. In addition to evaluating the degree of oil pollution, it can also determine the wear rate of mechanical equipment.

Collaborative fault diagnosis of multiple oil monitoring technologies involves taking oil samples from equipment and conducting comprehensive tests such as moisture, spectroscopy, ferrography, particle counters, etc. Based on the test results, the fault location and cause are comprehensively diagnosed.

Based on oil technology, whether it is the collaboration of multiple oil monitoring technologies for mechanical equipment fault diagnosis, or the collaboration of oil monitoring technology with other monitoring technologies, good results can be achieved in mechanical equipment fault diagnosis. Strengthening the research on oil monitoring technology in equipment fault diagnosis and leveraging its role in the normal operation and fault diagnosis of mechanical equipment is an effective measure to achieve efficient operation of mechanical equipment.

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Application of Collaborative Diagnosis of Multiple Oil Monitoring Technologies in Mechanical Equipment