Reliability CBM, Condition Monitoring & Asset Health

Training
Maintenance Management

With appropriate technologies such as Condition Monitoring and Asset Health, you can determine the nature of fault conditions well in advance of plant failures. By improving the reliability of your equipment with the best possible approach, not only is the performance better but the cost is lower.

This course is also part of the Maintenance & Asset Management Training Cycle. 

Content

  • Concept of condition monitoring vs. predictive maintenance
  • What Condition Monitoring techniques exist and what are they applicable to?
  • Inspections  
    • Sensory
    • Qualitative vs. quantitative
  • Ultrasonic analysis
    • Working principles
    • Manual input and analysis
    • Online monitoring with sensors and applicable algorithms 
    • Possible applications: some practical cases
  • Infrared thermography analysis
    • Working principles
    • Manual acquisition and analysis
    • Online monitoring with sensors and applicable algorithms 
    • Possible applications (mechanical, electrical)
  • Oil analysis
    • Working principles
    • Manual collection and analysis
      • Points of attention for correct sampling
        Interpretation of an oil analysis report
    • On-line monitoring by means of sensors and applicable algorithms 
      Possible applications
  • Vibration analysis
    • Working principles
    • Manual input and analysis
    • Online monitoring with sensors and applicable algorithms 
    • Possible applications
      • Vibration analysis on standard machines (pumps, fans...)
      • Vibration analysis on more complex machines (gearboxes, low speed applications, ...)
      • "Motion Magnification, ODS, ...
  • Analysis of electric motors
    • Principles of operation
    • Manual input and analysis
    • Online vs. Offline (MCSA - MCA)
    • Possible applications (mechanical, electrical)
  • Asset Health
    • Good practice
    • Coverage rate
    • Health status measurement
    • Progression to maturity
  • Industrie 4.0 / IIoT / Digitalisation
    • Basic concept
    • Maturity
    • Applications

Learning objectives

  • Understand the different CBM techniques
  • Understand how they can be applied
  • Identify the technology to be used according to the situation
  • Apply the right maintenance concept / find a balance between different types of maintenance
  • Have practical examples of often abstract concepts

Who is this training for?

This trainings aims to provide you with the essential basic principles, good practices in maintenance and associated methodologies, in order to make a sustainable start in your role. This 4-hour training course is aimed at:

 

  • Maintenance Engineers with little or no background and knowledge ;
  • Technicians called upon to take charge of reliability projects;
  • Production Managers who wish to become Maintenance Managers.

About the trainer

Pierre Colon  has been working in the field of predictive maintenance for over 12 years. After several years in the field as a service engineer in vibration analysis and thermography, Pierre has taken on the role of in-house trainer and has also been involved in the distribution and development of new in-house equipment in close collaboration with customers and field services!

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