Monitor your oil for better machine health

Understanding the health of machinery is crucial, and oil condition plays an important role in this.

Much like how blood in the human body carries essential health information, oil in machinery carries valuable data about its condition.

IMAnalytics track this data effectively through continuous online monitoring of oil, ensuring 24/7 availability of critical health information. 

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Based on the monitored metrics, we can detect: 
  • Cumulative particle count  
  • Particles / h 
  • Wear particles 
  • Ferromagnetic (Fe) particles 
  • Non-ferromagnetic (nFe) particles  
  • Particle size  
  • Temperature 
Examples of monitored metrics: 
  • Dielectric constant  
  • Electric conductivity 
  • Saturation level 
  • Temperature 

 

 

 

 

 

Oil Condition Monitoring

With IMAnalytics, continuous monitoring of various oil metrics is possible, changing the need of time-based sampling. This system also includes alarm settings to alert users to any significant changes in the oil’s condition. 

There are two primary focus areas in oil monitoring for evaluate machine health:

  • The condition of the oil
  • The detection of contamination particles within it

IMAnalytics enables monitoring of both these key elements. Additionally, we can combine oil monitoring with advanced vibration analysis, providing a more complete insight to your machine health. 

For instance, water presence in oil can be devastating, often due to condensation, cooler leaks, or incorrect oil types. This leads to corrosion, oxidation, and reduced lubrication quality, resulting in metal-to-metal contact. 

Beyond oil condition degradation, contamination by dirt, dust, grit, or internal wear particles is a common issue.

These contaminants can be proof of various potential problems. Metal particles in oil, for example, signal internal wear, such as in bearings, gears, or cylinders.

The presence of external contaminants such as dirt, dust, or grit may indicate a need for thorough cleaning or oil replacement. They could also suggest more severe problems, like cracks or breaks in machinery casing, allowing harmful external particles to enter.

IM Analytics’ system not only detects these particles but also analyses their types and concentrations to pinpoint specific machinery failures or approaching issues.