Iranian Productivity Association for Power Industry

Tehran, November 2025 – As power grids become increasingly complex, the shift from traditional maintenance to predictive strategies has become essential. Addressing this industry need, the IEIPE organized a comprehensive virtual workshop this autumn focused on "Advanced Asset Management & Predictive Maintenance for Power Grid Reliability".

Expert-Led Instruction The workshop, held on November 12th and 13th, was conducted by Dr. Amir Hossein Rezaei, a renowned Senior Consultant in Power System Asset Management. With over 20 years of experience leading global utility projects and a PhD in Electrical Engineering, Dr. Rezaei provided attendees with deep insights into reliability-centered maintenance (RCM) and the implementation of digital twins.

Core Themes: AI and Digital Twins The sessions moved beyond theory, offering practical approaches to modernizing grid operations. Key topics covered during the two-day event included:

• Fundamentals of Asset Management: A deep dive into ISO 55000 standards.

• Digital Innovation: Utilizing Digital Twin technology to create virtual replicas of power grids for simulation and analysis.

• Predictive Strategies: leveraging AI and IoT data to predict failures before they occur.

• Financial Optimization: Risk-Based Maintenance Optimization and Life Cycle Cost Analysis to ensure economic efficiency alongside technical reliability.

Connecting the Industry The workshop attracted a diverse group of participants, including asset managers, maintenance engineers, power system operators, and academic researchers. The virtual format allowed for live, expert-led sessions and interactive Q&A case studies, fostering a vibrant exchange of ideas across the sector.

Participants who completed the workshop received an E-Certificate of attendance, validating their updated skills in this critical field.

For information on upcoming workshops or to access archived materials from this session, please contact the IEIPE secretariat.

IEIPE Education Department Autumn 2025 Email: infoiranipa.com Phone: +98 21 8103 2326