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Preventive & Predictive Maintenance

Course description

This course shows how to design and optimize preventive and predictive maintenance programs that align with failure behavior and risk. Participants learn how to select the right mix of time‑based and condition‑based tasks to reduce unplanned downtime and extend equipment life.

Practical examples illustrate sampling and inspection methods, condition monitoring technologies, and data‑driven decisions that refine intervals and tactics. The program emphasizes cost‑risk tradeoffs and measurable results.

Audience

Designed for:

  • Reliability and maintenance engineers
  • Maintenance supervisors and planners
  • Operations personnel responsible for asset care

Prerequisites

Basic knowledge of maintenance strategies and asset failure mechanisms is recommended.

Course content

Failure Behavior & Strategy

  • Failure patterns and the P‑F curve
  • Hidden vs. evident failures
  • Safety, environmental, and production consequences
  • Task selection logic overview

Preventive Maintenance

  • Time‑based inspections and overhauls
  • Lubrication, tightening, and calibration routines
  • Precision checks and tolerances
  • Task effectiveness and optimization

Predictive Maintenance

  • Vibration, thermography, ultrasound, and oil analysis basics
  • Routes, alarms, and defect notification
  • Interpreting trends and initiating work
  • Case examples and avoided failures

Intervals & Optimization

  • Risk and consequence‑based intervals
  • Sampling and inspection frequencies
  • Feedback loops and strategy reviews
  • Data and analytics inputs

Performance & Sustainment

  • KPIs for PM/PdM programs
  • Reliability dashboards and reviews
  • Training and role clarity
  • Improvement roadmap

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