Course Overview
This 5-day intensive program equips maintenance managers, reliability engineers, and plant supervisors with proven methodologies to design, implement, and optimize preventive (PM) and predictive (PdM) maintenance strategies. Participants will learn to reduce downtime, extend asset life, and lower maintenance costs through data-driven decision-making and advanced monitoring technologies.
Course Objectives
Upon completion, participants will be able to:
- Develop a structured PM/PdM framework aligned with organizational goals
- Select appropriate predictive technologies (vibration, thermography, oil analysis)
- Optimize maintenance intervals using failure mode analysis
- Integrate CMMS/EAM systems for work order management
- Calculate ROI for predictive maintenance investments
- Implement condition monitoring for critical equipment
- Train teams on PM/PdM best practices
- Measure programme effectiveness using KPIs
Who Should Attend
This course is ideal for:
- Maintenance Managers
- Reliability Engineers
- Plant Operations Managers
- Asset Management Professionals
- Condition Monitoring Technicians
- Maintenance Planners
- Industrial Engineers
Course Modules
Module 1: Maintenance Strategy Fundamentals
- Reactive vs. preventive vs. predictive vs. proactive maintenance
- RCM principles and PM/PdM integration
- Criticality analysis (API 580)
- Maintenance maturity models
Module 2: Preventive Maintenance Optimization
- Task selection and frequency determination
- Lubrication and inspection programmes
- PM procedure development
- Spare parts management
Module 3: Predictive Maintenance Technologies
- Vibration analysis (ISO 10816)
- Infrared thermography (ASTM E1934)
- Oil analysis and wear particle monitoring
- Ultrasound and motor current analysis
Module 4: Programme Implementation
- Technology selection matrix
- Baseline data collection
- Alarm threshold setting
- Integration with CMMS
Module 5: Data Analysis & Decision Making
- Fault pattern recognition
- Severity assessment
- Repair vs. replace decisions
- Root cause analysis
Module 6: Financial Justification
- Cost-benefit analysis
- Equipment criticality weighting
- Life extension calculations
- Budgeting for PdM
Module 7: Digital Transformation
- IIoT sensor networks
- AI-driven failure prediction
- Digital twin applications
- Mobile workforce enablement