Predictive Maintenance Training Course

Course Overview

Learning Objectives

• Analyze the role of predictive maintenance within an integrated asset management and reliability strategy by the end of the course.
• Assess critical equipment and systems using operational, safety, financial, and service-impact criteria during structured workshop activities.
• Evaluate common failure modes and degradation patterns using practical failure analysis techniques within the course context.
• Apply condition-based maintenance principles to distinguish between reactive, preventive, predictive, and proactive maintenance approaches.
• Develop equipment monitoring plans that define asset scope, inspection intervals, warning indicators, responsibilities, and escalation actions.
• Interpret vibration, thermal, lubrication, ultrasonic, electrical, and operational performance data using guided examples and case exercises.
• Design practical alarm limits and decision rules that support timely maintenance intervention before functional failure occurs.
• Improve maintenance work planning by converting condition-monitoring findings into prioritized, executable work orders.
• Strengthen collaboration between maintenance, operations, engineering, procurement, and management through defined predictive maintenance workflows.
• Implement data quality controls and reporting practices that improve the reliability of maintenance intelligence during the course exercises.
• Align predictive maintenance initiatives with organizational risk, safety, compliance, budget, and performance objectives.
• Develop a time-bound predictive maintenance action plan for application within the participant’s workplace.

Who Should Attend

Learning Outcomes

• Explain how predictive maintenance supports reliability, availability, safety, service continuity, and asset lifecycle performance.
• Differentiate between reactive, preventive, condition-based, predictive, and proactive maintenance strategies.
• Identify critical assets that should be prioritized for predictive maintenance based on risk and business impact.
• Conduct a basic failure mode review to determine relevant degradation mechanisms and monitoring requirements.
• Select appropriate condition monitoring techniques for common mechanical, electrical, process, and facility assets.
• Interpret key condition indicators and recognize trends that may signal developing equipment problems.
• Establish practical monitoring frequencies, alarm thresholds, escalation routes, and response requirements.
• Translate diagnostic findings into prioritized maintenance work orders, inspections, repairs, or engineering actions.
• Use CMMS, EAM, historian, and maintenance records more effectively to support predictive maintenance decisions.
• Evaluate the quality, completeness, and usefulness of maintenance and condition-monitoring data.
• Communicate predictive maintenance findings clearly to operations, leadership, and other stakeholders.
• Produce an initial workplace action plan for improving predictive maintenance capability and governance.

Course Outline