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Condition Monitoring & Predictive Maintenance

Using the P-F curve, vibration, thermography, oil analysis, ultrasound and motor current analysis to detect developing failures early, set meaningful alarms, and convert diagnoses into planned work. For technicians, planners and reliability engineers building or running a condition-based maintenance programme.

55m
Total time
4
Competency levels
12
Lessons

What you'll learn

  • Explain the P-F curve and why the P-F interval dictates monitoring frequency
  • Match the main condition monitoring techniques to the failure modes each one detects
  • Set alarm and alert levels using baselines and trends rather than single readings
  • Convert a condition monitoring diagnosis into a prioritised, planned work order
  • Justify condition-based maintenance economically against running to breakdown
  • Track programme health through detection successes, saves and missed catches

Curriculum

Progress through each competency level in order.

1

Awareness

  • The P-F curve: detect early, act before failure
    Knowledge
    3m
  • The condition monitoring toolbox at a glance
    Knowledge
    3m
  • Awareness check: P-F thinking and the toolbox
    Assessment
    7m
2

Knowledge

  • Matching technique to failure mode
    Knowledge
    3m
  • Baselines, alarm levels and the power of trends
    Knowledge
    3m
  • Knowledge check: techniques, alarms and trends
    Assessment
    8m
3

Skill

  • From diagnosis to planned work order
    Knowledge
    3m
  • Workplace task: take a finding through to a planned job
    Assignment
    3m
  • Skill check: acting on findings
    Assessment
    8m
4

Mastery

  • The economics of condition-based maintenance
    Knowledge
    3m
  • Workplace task: build the CBM business case
    Assignment
    3m
  • Mastery check: leading a predictive programme
    Assessment
    8m

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