+601116373203

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Kuala Lumpur, Malaysia

ADVANCED PREVENTIVE & PREDICTIVE MAINTENANCE

“Enhancing Equipment Reliability through Proactive Maintenance Strategies and Predictive Technologies”

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Course Schedule

Date Venue Fees (Face-to-Face)
24 – 26 Feb 2026 Muscat, Oman USD 2,495 per delegate
05 – 07 Jul 2026 Manama, Bahrain USD 2,495 per delegate
10 – 12 Aug 2026 Doha, Qatar USD 2,495 per delegate
13 – 15 Oct 2026 Kuwait USD 2,495 per delegate

 

Course Introduction

As industries push toward operational excellence and asset reliability, maintenance strategies must evolve beyond reactive fixes. Advanced preventive and predictive maintenance (PPM) offers organizations a structured, data-driven way to extend equipment life, avoid unexpected failures, and optimize maintenance resources.

This intensive three-day training program delves into advanced methodologies, tools, and technologies to strengthen your maintenance planning, condition monitoring, and decision-making capabilities. It is designed to equip professionals with both strategic and technical skills to drive reliability-centered maintenance in their organizations.

Course Objectives

By the end of this course, participants will be able to:
• Develop advanced preventive maintenance programs based on asset criticality
• Integrate predictive tools such as vibration analysis, thermography, and oil diagnostics
• Interpret condition monitoring data to drive timely interventions
• Reduce downtime, maintenance cost, and failure rates through proactive planning
• Align maintenance strategies with business risk and reliability goals

Key Benefits of Attending

• Reduce unplanned equipment failures and production interruptions
• Gain practical knowledge of modern predictive maintenance technologies
• Improve maintenance planning, scheduling, and execution discipline
• Support reliability-centered maintenance and asset management initiatives
• Build internal capability to shift from reactive to proactive maintenance

Intended Audience

This program is designed for:
• Maintenance engineers and supervisors
• Reliability professionals and planners
• Mechanical, electrical, and instrumentation technicians
• CMMS users and asset management teams
• Operations and plant managers focused on performance and uptime

Individual Benefits

Key competencies that will be developed include:
• Development of PM/PdM tasks based on failure modes and asset risk
• Use of condition monitoring techniques to diagnose early failures
• Data analysis and decision-making using maintenance indicators
• Application of risk-based and reliability-centered maintenance principles
• Hands-on troubleshooting using predictive technology case examples

Organization Benefits

Upon completing the training course, participants will demonstrate:
• Lower corrective maintenance frequency and associated costs
• Increased availability, uptime, and reliability of key assets
• Optimized maintenance resource allocation and task scheduling
• Stronger alignment with ISO 55000 and world-class maintenance frameworks
• Enhanced safety and operational resilience through equipment integrity

Instructional Methdology

The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – Best practices in proactive and predictive maintenance
• Case Studies – Equipment failure analysis and predictive maintenance applications
• Workshops – PM/PdM program development and condition monitoring exercises
• Peer Exchange – Discussion of real plant scenarios and lessons learned
• Tools – Templates for maintenance task lists, monitoring logs, and fault trees

Course Outline

Detailed 3-Day Course Outline

Training Hours: 07:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00

Day 1: Strategy and Planning for Proactive Maintenance

  • Module 1: Advanced Preventive Maintenance Planning (07:30 – 09:30)
    • Criticality analysis and maintenance task selection
    • Work order management and CMMS integration
  • Module 2: Maintenance Optimization and Scheduling (09:45 – 11:15)
    • Balancing preventive workload with operational priorities
    • Maintenance backlog and scheduling strategies
  • Module 3: Risk-Based Maintenance (11:30 – 01:00)
    • Using failure history and asset risk to prioritize tasks
  • Module 4: Workshop – Building a Risk-Based PM Plan (02:00 – 03:30)

Day 2: Predictive Tools and Technologies

  • Module 1: Vibration Monitoring and Analysis (07:30 – 09:30)
    • Fault signatures, frequencies, and trending
  • Module 2: Thermography and Ultrasonic Inspection (09:45 – 11:15)
    • Identifying electrical, thermal, and leakage faults
  • Module 3: Lubrication and Oil Condition Monitoring (11:30 – 01:00)
    • Wear metals, viscosity, contamination, and degradation
  • Module 4: Workshop – Interpreting Predictive Maintenance Data (02:00 – 03:30)

Day 3: Implementation, KPI Tracking & Continuous Improvement

  • Module 1: CMMS Reporting and Data Utilization (07:30 – 09:30)
    • Maintenance KPIs: MTBF, MTTR, PM compliance
  • Module 2: RCA and Failure Elimination (09:45 – 11:15)
    • Linking PdM data with RCFA to improve asset design and operations
  • Module 3: Building a Maintenance Excellence Roadmap (11:30 – 01:00)
    • Implementation phases, training, and change management
  • Module 4: Certification and Wrap-Up (02:00 – 03:30)
    • Final Q&A, course summary, and certificate distribution

Certification

Participants will receive a Certificate of Completion in Advanced Preventive & Predictive Maintenance, validating their expertise in implementing proactive strategies that drive equipment reliability, operational efficiency, and maintenance excellence.

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