A predictive maintenance strategy to improve the service life of machines

Predictive maintenance

In hydraulic and lubrication oil systems, friction, wear, leakage and excess temperatures can contribute to contaminate the operating fluid with solid particle contamination or water. This contamination is a serious problem for the system as it will cause system downtime by creating errors in components and subsystems.

In order to prevent loss in term of time and money, the condition monitoring of the operating fluid is primordial. Implementing a predictive condition monitoring maintenance strategy is the best condition monitoring solution for the service life of all critical machine elements. They will be fully utilised, by detecting a variation from the fluid’s normal condition early on. Indeed, as soon as the beginnings of a variation are detected, the remaining service life of the corresponding parameter can be estimated and used for ongoing production in a controlled manner.

This hydraulic condition monitoring strategy will allow us to use the existing components optimally and properly plan their replacements with new spare parts, reducing the total costs for the machinery throughout its service life.

 

This principle of predictive maintenance is base on three pillars:

 

  • Permanently monitoring the condition of a “healthy” system to detect wear or variations from the normal condition early on
  • If a variation is detected, in the simplest case only an alert is issued, but a better option is to determine and output the remaining service life of a component or a subsystem
  • On the basis of this “condition” of the system, costly downtime can now be reliably avoided and inexpensive maintenance can be scheduled.

 

Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies.

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