Special Session SS04

Reliability Assessment and State Monitoring of Power Converters

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Introduction:

The power converter is a core component for electrical energy conversion and control, which is widely used in distributed power generation, new energy grid connection, electric vehicles and other fields, and the reliability of the power converter is directly related to the safety and stability of power systems. At present, the reliability assessment and condition monitoring of power converters are still faced with many challenges: the multi-field changes and failure mechanisms of power converters in extreme service environments (such as oceans, deserts, plateaus, etc.) are unclear; the fault diagnosis accuracy of power converters under complex operating conditions is insufficient; and the full-life-cycle reliability assessment model of power converters is lacking. To improve the accuracy of reliability assessment and condition monitoring of power converters, methods such as accelerated aging tests, multi-physics field modeling, and failure mechanism analysis are adopted to clarify the root causes of failure. Meanwhile, emerging technologies including advanced sensing, digital twin, and packaging optimization are applied to enhance the condition monitoring capability of power converters. In addition, emerging research methods such as artificial intelligence, machine learning, and data-driven approaches have attracted extensive attention in the field of power converter reliability assessment. This Special Session aims to focus on the cutting-edge research and technological innovations in failure mechanism analysis, reliability assessment, and condition monitoring of power converters. Topics include, but are not limited to:
1. Si-based, SiC-based and GaN-based power device modeling;
2. Accelerated aging testing and failure mechanism analysis;
3. Emerging sensing and system integration;
4. High-reliability design with new materials and structures;
5. Digital twin and field-circuit coupled simulation technology;
6. AI-based reliability assessment methods;
7. Failure analysis and control of power converters;
8. Condition monitoring and fault diagnosis of power converters

SS04's Session Chairs:

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Assist. Prof. Ran Yao, Chongqing University, China;

Assoc. Prof. Zhaoyang Zhao, Southwest Jiaotong University, China;

Dr. Jun Zhang, Hohai University, China;

Assist. Prof. Fengtao Yang, Xi’an Jiaotong University, China;

Assist. Prof. Junliang Liu, Chongqing University, China;

Research Associate Cheng Zhao, Chongqing University, China;

Senior Research Associate Renze Yu, University of Bristol, UK;

Senior Engineer Yifan Jian, Nuclear Power Institute of China, China

Paper Review

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1. All papers will undergo a thorough peer review process. Accepted full papers that are presented at the conference will be published in proceedings.

2. The corresponding author is responsible for ensuring that the article’s publication has been approved by all other co-authors and takes responsibility for the paper during submission and peer review.

3. Review comments will be communicated to you and you may require to do necessary revisions and send revised paper on or before prescribed day.

Call for Reviewers

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Reviewers evaluate article submissions to IEECSC, based on the requirements of the conference proceedings, predefined criteria, and quality, completeness and accuracy of the research presented. They suggest improvements and make a recommendation to the editor about whether to accept, reject or request changes to the article. We sincerely welcome experts in the areas of Electrical Engineering and Energy join the conference as reviewer. If you are interested in joining IEECSC as Reviewer, please click the below button to submit your information.

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Plagiarism Policy

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The content of any submissions should be original and must not be submitted simultaneously for consideration towards publication in any other conference or journal. Reuse of material previously published by the authors is possible under the conditions that the authors fully disclose (cite) the reference and clearly highlight the innovative contribution of the IEECSC 2026 submission and the significance of this contribution.