Condition Monitoring and Predictive Maintenance

Objectives:

• Understand the principles of condition monitoring and predictive maintenance.
• Learn various techniques and tools for condition monitoring.
• Explore the integration of predictive maintenance into operational strategies.
• Develop the ability to assess the effectiveness of predictive maintenance systems.

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

DATE:

1ST BATCH: 10th – 13th Mar, 2026    

2ND BATCH: 7th – 10th Jul, 2026

3RD BATCH: 25th – 28th Nov, 2026