Training course on AI in Predictive Maintenance for Utilities

Module 1: Fundamentals of Predictive Maintenance in Utilities

Traditional vs. predictive vs. preventive maintenance

Role of AI and digital technologies in utilities

Industry case studies and global trends

Module 2: AI and Machine Learning for Asset Management

Key algorithms for failure prediction and anomaly detection

Training AI models with utility asset data

Applications in turbines, transformers, pipelines, and water systems

Module 3: IoT and Real-Time Monitoring

IoT-enabled sensors for utilities

Data collection, integration, and visualization platforms

Smart monitoring of critical infrastructure

Module 4: Implementing Predictive Maintenance Strategies

Designing AI-driven predictive maintenance frameworks

Cost-benefit analysis and ROI of predictive systems

Change management and workforce upskilling

Module 5: Challenges, Future Trends, and Capstone Exercise

Cybersecurity, data privacy, and interoperability issues

Regulatory considerations in digital utility management

Future of AI in predictive maintenance (digital twins, robotics, AR/VR)

Capstone exercise: Developing an AI-driven predictive maintenance plan for a utility system