Upcoming Events

https://iecon2025.org/special-sessions/

Special sessions:

SS06. Integration of EV Charging Infrastructure and Renewable Energy Sources: Challenges and Opportunities 

SS13. Advanced Topologies and Control Strategies for DC-DC Power Converters 

SS15. Integration of Renewable Energy Sources for Fast, Superfast, and Ultra-Fast EV Charging Stations: A Sustainable Solution 

https://www.ecce-europe.org/2025/programme/special-sessions/

Special Session: AI based fault detection, diagnosis and reliability assessment in power electronic converters

Power electronic converters are critical components which are prone to faults due to thermal stress, switching failures, component degradation, and external disturbances. Traditional fault diagnosis and reliability assessment methods often rely on rule-based or model-based approaches. Artificial Intelligence (AI) techniques, such as machine learning (ML) and deep learning (DL), offer significant potential for improving fault diagnosis, reliability assessment, and fault detection in power electronic converters. By using data-driven approaches, AI can enhance accuracy, speed, and adaptability of fault detection systems, enabling predictive maintenance and improved system reliability. This SS proposal will encompass the development in the integration of AI techniques into fault diagnosis, reliability assessment, and fault detection for power electronic converters.