Sepcial Session

Special Session 7

Advanced Condition Monitoring, Health Management, and Reliability of Power Semiconductor Devices
“功率半导体器件先进状态监测、健康管理与可靠性”

Power semiconductor devices, including traditional Silicon (Si) IGBTs and wide-bandgap (WBG) devices such as Silicon Carbide (SiC) MOSFETs and Gallium Nitride (GaN) HEMTs, serve as the foundational cornerstones of modern power electronics systems. They are widely deployed in mission-critical applications such as electric vehicles (EVs), renewable energy generation, energy storage systems, and smart grids. However, operating under harsh electro-thermal-mechanical stresses, power devices are vulnerable to aging and catastrophic failures, which can compromise system safety and lead to substantial economic losses.
Therefore, advanced condition monitoring, real-time health assessment, and intelligent fault diagnosis are essential to ensure the high reliability and resilience of power electronic systems. This Special Session aims to provide an interactive platform for researchers and industrial engineers to present state-of-the-art developments, cutting-edge technologies, and emerging trends in the monitoring and health management of power semiconductor devices.

功率半导体器件，包括传统硅（Si）IGBT以及碳化硅（SiC）MOSFET和氮化镓（GaN）HEMT等宽禁带半导体器件，是现代电力电子系统的核心基石，广泛应用于电动汽车、可再生能源发电、储能系统和智能电网等关键领域。然而，在严苛的电-热-机械多物理场耦合应力下，功率器件极易发生老化退化与突发失效，进而影响系统的安全运行并造成重大的经济损失。
因此，先进的状态监测、实时的健康评估与智能故障诊断技术对于保障电力电子系统的高可靠性与高韧性至关重要。本专题论坛（Special Session）旨在为学术界科研人员与工业界工程师提供一个深入交流的平台，共同展示和探讨功率半导体器件状态监测与健康管理领域的最新研究成果、前沿技术及未来发展趋势。

Topics of Interest (including but not limited to) 

1. Online and offline condition monitoring techniques for Si, SiC, and GaN power devices.
2. Advanced sensing technologies, embedded sensors, and smart drivers for health monitoring.
3. Extraction of novel precursor parameters and multi-physics aging degradation mechanisms.
4. Fast fault diagnosis, anomaly detection, and active protection methods.
5. Remaining useful life (RUL) prediction and aging prognostic methodologies.
6. Artificial intelligence, machine learning, and digital twin applications in the health management of power devices.
7. Reliability assessment and condition monitoring in system-level applications (e.g., wind/solar power, EVs, railway traction, and microgrids). 

---

Chair: Assoc. Prof. Yi Liu, Tiangong University, China 

Yi Liu was born in Yingcheng, China, in 1988. He received the B.S. degree in electrical engineering from Southwest Jiaotong University, Chengdu, China, in 2011, and the Ph.D. degree in electrical engineering from Wuhan University, Wuhan, China, in 2019. From 2019 to 2023, he was a Postdoctoral Fellow with the School of Electrical Engineering and Automation, Wuhan University. He is currently an Associate Professor with the school of Electrical Engineering, Tiangong University, Tianjin, China. His research interests include the condition monitoring and reliability assessment of power electronic components and systems, thermal-electrical parameter modeling, and online monitoring techniques for high-voltage power converters.

 

Co-chair: Prof. Limei Wang, Shenyang University of Technology, China 

Yingzhou Peng received the B.S. degree in electrical engineering from Harbin Engineering University, Harbin, China, in 2014, the M.S. degree in power electronics from Chongqing University, Chongqing, China, in 2017, and the Ph.D. degree in power electronics from Aalborg University, Aalborg, Denmark in 2020. From 2020 to 2022, He was a PosDoc with Aalborg University, Aalborg, Denmark. He is currently working as an Associate Professor at Hunan University, China.
His research interests include the failure mechanisms analysis of power electronic components, the improvement of the robustness and reliability of power converters by means of condition monitoring.

 

Co-chair: Dr. Jiangpeng Yang, Tsinghua University, China 

Hanyu Wang received the B.S. degree in electrical engineering from Hefei University of Technology (HFUT), Hefei, China, in 2012 and Ph.D. degree in electrical engineering from Huazhong University of Science and Technology (HUST), Wuhan, China, in 2020. Since 2020, he has been with the School of Electrical Engineering and Automation, HFUT. From 2017 to 2018, he was a visiting Ph.D. student with the Department of Energy Technology, Aalborg University (AAU), Aalborg, Denmark. His research interests include fault diagnosis and condition monitoring of power converters.

 

---