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🌍 Reliability of Power Electronic Converters (ReliaPEC)
I work in a research group that focuses on “Enabling the next leap in efficient , reliable, and cognitive power electronic converters functioning as the energy processors for our electrified and digitalized world”
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Collaborations from the last five years
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Projects
- 1 Finished
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Physics-informed Artificial Intelligence Methods for Prognostics and Health Management in Power Electronic Converters
Kong, J. (PI), Zhou, D. (Supervisor) & Wang, H. (Supervisor)
01/12/2022 → 30/11/2025
Project: PhD Project
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A Digital Twin-Based Condition Monitoring Method for a Three- Phase Inverter
Kong, J., Zhou, D., Li, S., Wei, X. & Wang, H., May 2025, PCIM Conference 2025: International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2025. VDE Verlag GMBH, p. 2119-2125 7 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile15 Downloads (Pure) -
An Active Learning Framework for Reliability-Oriented Power Electronics Design
Zhang, X., Zhao, X., Kong, J., Sun, J., Wu, X., Jiang, C. & Zhang, Y., 21 Jul 2025, In: I E E E Transactions on Industrial Electronics. 72, 12, p. 13210-13220 11 p., 11087453.Research output: Contribution to journal › Journal article › Research › peer-review
1 Citation (Scopus) -
A Review on Junction Temperature and ON-state Voltage Condition Monitoring of Power Semiconductor Devices
Yu, X., Kong, J., Wang, N., Zhang, K., Blaabjerg, F. & Zhou, D., 2025, In: Chinese Journal of Electrical Engineering. 11, 2, p. 17-37 21 p., 11077899.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Citations (Scopus)2 Downloads (Pure) -
Configuration Selection for Degradation Trajectory Prediction of Power Modules Based LSTM Model
Zhang, Y., Zhang, Y., Kong, J., Liu, J., Yao, B. & Wang, H., 2025, 2025 IEEE Workshop on Wide Bandgap Power Devices and Applications in Asia, WiPDA Asia 2025. IEEE (Institute of Electrical and Electronics Engineers)Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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Physics-informed Neural Network Approach for Early Degradation Trajectory Prediction of Power Semiconductor Modules
Kong, J., Zhang, Y., Zhang, Y., Wick, L. Y., Hansen, F. L., Zhou, D. & Wang, H., 1 May 2025, 2025 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE (Institute of Electrical and Electronics Engineers), p. 2380-2386 7 p. (I E E E Applied Power Electronics Conference and Exposition. Conference Proceedings).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile1 Citation (Scopus)108 Downloads (Pure)