Intelligent Asset Management in Power: AI Tools for Smarter Infrastructure Decisions

Learn how AI enables better asset lifecycle management across substations, transformers, and transmission lines. This course shows how to improve performance, extend asset life, and reduce CAPEX/OPEX through smarter insights.

Course Description:

This intensive 2-day course empowers asset managers and O&M leaders in the power sector to modernize their approach using AI-powered tools. With infrastructure aging and the stakes of failure rising, participants will learn how to use machine learning, predictive analytics, and condition-based monitoring to assess asset health, prioritize maintenance, and extend asset life.

The course uses a mix of theory, case studies, tool demonstrations, and hands-on workshops to provide immediately actionable strategies for improving lifecycle management and decision-making without requiring deep technical

Who Should Attend:

• Power plant and substation asset managers
• Utility O&M leaders and reliability engineers
• Infrastructure investment and planning professionals
• Engineers responsible for asset risk, lifecycle cost, or digital twin systems

Course Objectives:

Knowledge Acquisition:

• Understand the role of AI in asset condition assessment and lifecycle planning
• Learn about predictive maintenance, anomaly detection, and failure pattern recognition
• Explore how utilities are leveraging AI to optimize capital and O&M budgets

Skills Development:

• Evaluate asset health based on historical data and sensor feeds
• Use simple AI tools to simulate risk scoring and failure probabilities
• Interpret dashboards to prioritize repairs, replacements, and maintenance

Practical Application:

• Build a basic asset risk matrix using AI-generated condition scores
• Analyze the lifecycle cost impact of delaying or advancing maintenance
• Develop a smart inspection and monitoring plan using sample tools
• Apply failure models to proactively flag high-risk infrastructure

What will I Learn From it:

• Reduce downtime and unexpected failures using predictive insights
• Make better CAPEX/OPEX decisions with lifecycle data modeling
• Create defensible, data-backed asset strategies
• Prepare for integration with digital twin and advanced SCADA platforms

Training Methodology

• Expert walkthroughs of real utility case studies
• Guided scenario labs using AI-ready templates
• Hands-on dashboard exercises
• Collaborative risk matrix building in teams

Requirement/
pre-requisites:

• Familiarity with asset management concepts
• Laptop with Excel or data visualization tools (Power BI preferred)
• Basic understanding of maintenance planning cycles