Course Objectives:

By the end of this training, participants will be able to:

1. Introduction to Condition Monitoring of Motors and Transformers

• Understand the importance of condition monitoring in electrical asset reliability.
• Learn the key failure modes of motors and transformers.
• Identify the cost benefits of predictive maintenance vs. reactive maintenance.

2. Condition Monitoring Techniques for Motors

• Learn key monitoring methods for electrical motors, including:
• Vibration Analysis (bearing faults, misalignment, imbalance).
• Thermographic Inspection (hotspots, overheating, load imbalance).
• Motor Current Signature Analysis (MCSA) (rotor bar defects, insulation breakdown).
• Insulation Resistance Testing (Megger Test) for detecting electrical degradation.
• Partial Discharge Testing for high-voltage motor condition assessment.

3. Transformer Condition Monitoring Techniques

• Understand critical transformer monitoring techniques, including:
• Dissolved Gas Analysis (DGA) (identifying electrical and thermal faults).
• Oil Quality Testing (moisture content, dielectric strength, acid number).
• Winding Resistance Measurement (detecting shorted turns and connections).
• Sweep Frequency Response Analysis (SFRA) for mechanical integrity checks.
• Thermal Imaging and Load Monitoring (detecting overheating, load imbalances).

4. Predictive Maintenance Strategies for Motors and Transformers

• Learn how to establish a Predictive Maintenance (PdM) program.
• Implement trend analysis using condition monitoring data.
• Apply AI and IoT-based condition monitoring tools for real-time fault detection.

5. Industry Standards and Compliance for Condition Monitoring

• Understand relevant IEC, IEEE, NEMA, and ISO standards for motor and transformer testing.
• Ensure compliance with OSHA, NFPA 70B, and ANSI regulations for electrical maintenance.

6. Case Studies and Troubleshooting Techniques

• Analyze real-world case studies of motor and transformer failures.
• Develop problem-solving techniques for common electrical faults.
• Apply best practices to improve equipment uptime and reliability.

Target Audience

This course is designed for professionals involved in electrical maintenance, reliability engineering, and predictive maintenance, including:

• Electrical Engineers
• Maintenance Technicians
• Reliability Engineers

• Plant Operators
• Facilities Managers
• Condition Monitoring Specialists