Condition Monitoring and Predictive Maintenance

Introduction to Condition Monitoring and Predictive Maintenance

• Overview of condition monitoring and predictive maintenance
• Key benefits and differences between preventive and predictive maintenance
• Importance of condition monitoring in asset management
• Key performance indicators (KPIs) for monitoring equipment health

Condition Monitoring Techniques

• Vibration analysis and its applications
• Thermal imaging and infrared thermography
• Oil analysis and lubrication monitoring
• Acoustic emission monitoring
• Ultrasonic testing for leak detection

Predictive Maintenance Strategies and Tools

• Predictive algorithms and data analytics in maintenance
• Condition-based monitoring vs. time-based maintenance
• Role of IoT and sensors in predictive maintenance
• Integration with Computerized Maintenance Management Systems (CMMS)

Implementation and Effectiveness Assessment

• Steps to implement a predictive maintenance program
• Evaluating the success of predictive maintenance systems

1ST BATCH: Tuesday, March 10, 2026 — Friday, March 13, 2026.

2ND BATCH: Tuesday, July 7, 2026 — Friday, July 10, 2026.

3RD BATCH: Tuesday, November 24, 2026 — Friday, November 27, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.