PROACTIVE PREVENTIVE AND PREDICTIVE MAINTENANCE SOLUTIONS
Minimizing Downtime and Maximizing Equipment Reliability through Smart Maintenance Strategies
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 07 – 11 Sep 2026 | London – UK | USD 3495 per delegate |
Course Introduction
In today’s asset-intensive industries, unplanned equipment failures can lead to costly downtime, safety risks, and disrupted operations. A shift from reactive to proactive maintenance using preventive and predictive methodologies can dramatically increase reliability, reduce costs, and extend asset lifecycles.
This 5-day intensive course provides a strategic and practical foundation in implementing world-class preventive and predictive maintenance systems. Participants will learn how to plan, execute, and optimize maintenance tasks using data-driven tools such as condition monitoring, reliability-centered maintenance (RCM), and predictive analytics.
Course Objectives
By the end of this course, participants will be able to:
• Differentiate between preventive, predictive, and reactive maintenance approaches
• Develop and implement effective maintenance schedules and inspections
• Apply predictive technologies such as vibration, infrared, and oil analysis
• Identify failure modes and implement RCM and FMEA techniques
• Build KPIs and performance dashboards for maintenance effectiveness
Key Benefits of Attending
• Learn how to reduce equipment downtime and maintenance costs
• Master best practices in maintenance planning and resource allocation
• Enhance asset performance through condition-based strategies
• Improve safety, compliance, and audit readiness
• Gain hands-on experience with predictive tools and real-world case studies
Intended Audience
This program is designed for:
• Maintenance engineers and technicians
• Reliability and asset integrity engineers
• Plant managers and operations supervisors
• Maintenance planners and inspectors
• Mechanical engineers and condition monitoring specialists
Individual Benefits
Key competencies that will be developed include:
• Expertise in failure prediction and prevention methods
• Ability to plan and manage preventive maintenance schedules
• Skills in using diagnostic tools like thermography and vibration analysis
• Capability to apply RCM and FMEA to critical assets
• Understanding of maintenance KPIs and benchmarking
Organization Benefits
Upon completing the training course, participants will demonstrate:
• Reduced unplanned downtime and increased asset availability
• Cost-effective maintenance strategies aligned with risk profiles
• Improved planning and execution of maintenance tasks
• Enhanced workforce capability in condition monitoring and diagnostics
• Better decision-making through maintenance performance data
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – Detailed sessions on maintenance philosophies, systems, and tools
• Case Studies – Real examples of proactive maintenance successes and failures
• Workshops – Interactive sessions on planning, diagnostics, and system design
• Peer Exchange – Discussions on challenges and experiences in maintenance practices
• Tools – Maintenance strategy templates, FMEA worksheets, and KPI dashboards
Course Outline
DETAILED 5-DAY COURSE OUTLINE
Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: Maintenance Strategy Foundations
- Module 1: Maintenance Approaches and Evolution (07:30 – 09:30)
• Reactive, preventive, and predictive maintenance comparison
• Total productive maintenance (TPM) and reliability-centered maintenance (RCM)
• Maintenance as a value driver - Module 2: Asset Criticality and Failure Modes (09:45 – 11:15)
• Identifying critical assets and components
• Understanding failure types and causes
• Introduction to failure mode and effects analysis (FMEA) - Module 3: Maintenance Program Development (11:30 – 01:00)
• Structuring maintenance tasks and intervals
• Inspection planning and standard procedures
• Integration with CMMS systems - Module 4: Workshop – Failure Analysis Scenarios (02:00 – 03:30)
• Analyzing typical equipment failure modes
• Linking failures to maintenance tasks
• Group presentations
Day 2: Preventive Maintenance Systems
- Module 1: Planning and Scheduling PM Activities (07:30 – 09:30)
• PM task design and frequency setting
• Resource planning and backlog management
• PM compliance and auditability - Module 2: Spare Parts and Lubrication Strategies (09:45 – 11:15)
• Spare part inventory management
• Lubrication best practices and contamination control
• Condition-based replacement - Module 3: Inspection and Checklist Design (11:30 – 01:00)
• Visual inspections and operator care
• Standardizing and digitizing checklists
• Mobile inspection tools - Module 4: Workshop – PM Optimization Plan (02:00 – 03:30)
• Evaluating PM effectiveness
• Eliminating redundant tasks
• Rebuilding a sample PM program
Day 3: Predictive Maintenance Technologies
- Module 1: Vibration and Acoustic Monitoring (07:30 – 09:30)
• Basics of vibration analysis
• Common vibration patterns and fault detection
• Use of accelerometers and sensors - Module 2: Thermography and Infrared Applications (09:45 – 11:15)
• Infrared scanning for motors, bearings, and panels
• Temperature trending and hot spot detection
• Interpreting thermal images - Module 3: Oil and Lubricant Analysis (11:30 – 01:00)
• Wear particle analysis
• Contamination and viscosity monitoring
• Lube sampling practices - Module 4: Workshop – Predictive Data Interpretation (02:00 – 03:30)
• Review of sample PdM data sets
• Condition reports and action triggers
• Building a condition monitoring schedule
Day 4: Reliability Engineering Tools and Techniques
- Module 1: Reliability-Centered Maintenance (RCM) (07:30 – 09:30)
• RCM principles and logic
• Functional failures and risk prioritization
• Aligning RCM with PM/PdM - Module 2: Root Cause and Failure Analysis (09:45 – 11:15)
• Fishbone diagrams and 5-Why analysis
• Chronic vs. sporadic failures
• Building a corrective action plan - Module 3: MTBF, MTTR and Maintenance Metrics (11:30 – 01:00)
• Calculating reliability indicators
• KPI dashboards and data interpretation
• Maintenance benchmarking - Module 4: Workshop – FMEA Exercise (02:00 – 03:30)
• Identifying potential failures
• Ranking by severity and occurrence
• Prioritizing risk mitigation
Day 5: Maintenance Systems and Digital Tools
- Module 1: CMMS and Maintenance Digitalization (07:30 – 09:30)
• Computerized maintenance management systems
• Data entry, work order flows, and reporting
• Mobile maintenance applications - Module 2: Integrating IoT and Smart Sensors (09:45 – 11:15)
• Overview of predictive analytics platforms
• Remote monitoring and alerts
• Real-time data and AI applications - Module 3: Maintenance Strategy Review (11:30 – 01:00)
• Audit and evaluation of maintenance strategies
• Continuous improvement techniques
• Strategy alignment with business goals - Module 4: Final Assessment and Wrap-Up (02:00 – 03:30)
• Final knowledge check
• Developing an action plan
• Certification and closing discussion
Certification
Participants will receive a Certificate of Completion in Proactive Preventive and Predictive Maintenance, verifying their readiness to plan, implement, and manage maintenance programs that drive performance, reliability, and cost-efficiency.