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20222024
most citedArtificial-Intelligence-Based Design for Circuit Parameters of Power Converters

102 citations · 107 across the 9 of their papers we have counts for

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eess.SP2025

Physics-Informed Neural Network for Parameter Identification: a Buck Converter Case Study

Shuyu Ou, Subham Sahoo, Ariya Sangwongwanich +5

System-level condition monitoring methods estimate the electrical parameters of multiple components in a converter to assess their health status. The estimation accuracy and variat…

eess.SP20241 cited

A Data-Driven Condition Monitoring Method for Capacitor in Modular Multilevel Converter (MMC)

Shuyu Ou, Mahyar Hassanifar, Martin Votava +5

The modular multilevel converter (MMC) is a topology that consists of a high number of capacitors, and degradation of capacitors can lead to converter malfunction, limiting the ove…

eess.SP2024

Data-Driven Stability Assessment of Power Electronic Converters with Multi-Resolution Dynamic Mode Decomposition

Rui Kong, Subham Sahoo, Yongjie Liu +1

Harmonic instability occurs frequently in the power electronic converter system. This paper leverages multi-resolution dynamic mode decomposition (MR-DMD) as a data-driven diagnost…

eess.SP20242 cited

Semiconductor Devices Condition Monitoring Using Harmonics in Inverter Control Variables

Shuyu Ou, Ariya Sangwongwanich, Subham Sahoo +1

The health status of power semiconductor devices in power converters is important but difficult to monitor. This paper analyzes the relationship between harmonics in inverter contr…

eess.SP2023102 cited

Artificial-Intelligence-Based Design for Circuit Parameters of Power Converters

X. Li, X. Zhang, F. Lin +1

Parameter design is significant in ensuring a satisfactory holistic performance of power converters. Generally, circuit parameter design for power converters consists of two proces…