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Home Apptypes Condition Monitoring

Condition Monitoring

In hydraulics, fluid is one of the most critical components. Its main function is to serve as a medium to transmit power, but it can also be used to dissipate heat, lubricate, seal clearances between moving parts or transport contaminants.

Once a hydraulic system is operational, contaminants will find their way into the oil and affect the physical and chemical composition. That is why it is important to know more about the types of contaminants you are dealing with, to take action to ensure continuous operation.

  • Solid particles
  • Acid
  • Soft contamination
  • Water
  • Air

Condition based maintenance, also known as predictive maintenance, is based on constantly monitoring your equipment and analyzing the data. The purpose of condition based maintenance is to find symptoms of potential failures before they occur.

Lekang Group supply a wide range of oil quality sensors and particle counters for condition monitoring. We also supply a unique combination of depth filtration combined with condition monitoring.

CMSWMKUG1

Particle Counters

Stationary particle counters for hydraulic oil, lubrication oil and diesel condition monitoring. Mobile particle counters for oil analyzes in different hydraulic systems.

Condition based maintenance also known as predictive maintenance is based on constantly monitoring your equipment and analysing the data. The purpose of condition based maintenance is to find symptoms of potential failures before they occur

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OQS1080SC4

Oil Quality Sensors

Oil quality sensors for hydraulic and lubrication oils.

Condition based maintenance also known as predictive maintenance is based on constantly monitoring your equipment and analyzing the data. The purpose of condition based maintenance is to find symptoms of potential failures before they occur

Read more
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Oil Sampling

Lekang Group offers hydraulic oil and diesel fuel laboratory analyses.

Oil sampling can give you information on your oil quality and contamination level. It provides insight on which proactive actions that should be taken to achieve optimal machine performance reliability and lowest possible costs

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