IEEE ‘Wired Minds’ Seminar at University of Leicester
Abstract:
Power electronics are widely used in industrial applications such as: renewable energy systems (PV and Wind systems), electric vehicles (EV), high-speed rail traction, aerospace and so on. They are the most critical components in the power electronic system, which are essential for the robustness and reliability of power electronic systems based on their safe operation. However, they are susceptible to failure in practical long-term operation due to periodic electrical, thermal and mechanical stresses.
Thus, it is essential to enable fault diagnosis, condition monitoring, and predictive maintenance of the power electronic system to ensure the reliable operation of power electronic systems, avoiding unscheduled shutdowns and catastrophic accidents.
Moreover, with the development of a new generation of information technology, how to combine artificial intelligence (AI), big data and the Internet of Things (IoT) to develop an intelligent operation and maintenance (O&M) system for power converters, further improve the accuracy of diagnosis and reduce the cost of operation and maintenance, is becoming a new opportunity and challenge.
The aim of this presentation is to further discuss the application of AI in the power electronic system , using the PV system as a case study. How to enable fault diagnosis, condition monitoring and predictive maintenance for the key components of PV systems, such as PV arrays, DC-link capacitors and power switches ?
Date and Time
Location
Hosts
Registration
- Date: 29 May 2025
- Time: 04:00 PM UTC to 04:30 PM UTC
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- University of Leicester
- Leicester, England
- United Kingdom LE1 7RH
- Building: Engineering Building
- Room Number: Lecture Theatre 1
- Starts 28 May 2025 11:59 PM UTC
- Ends 29 May 2025 11:59 PM UTC
- No Admission Charge
Speakers
Liu of AAU Energy Department, Aalborg University
AI-Assisted Condition Monitoring and Fault Diagnosis for Power Electronics
Biography:
Yongjie Liu is a currently PhD student at AAU energy department, Aalborg University, Denmark. He received the B.S. and M.S degrees in mechanical and electronic engineering from Hohai University, Nanjing, China, in 2019 and 2022, respectively. Now, he is a visiting scholar in Cummins Company (UK) and Nottingham University (PEMC group).
His research interests include condition monitoring, reliability testing, data analytics, intelligent fault diagnosis and prognostics for power electronic systems.