PhD Defense on Data-Driven Condition Monitoring of Power Electronics at Aalborg University
The reliability of power electronic converters is increasingly critical as their deployment grows with renewable energy and electricity demand. This thesis focuses on data-driven condition monitoring, which extracts health indicators directly from measured data. Four key challenges are addressed: estimation accuracy, noninvasive online implementation, systematic tool development, and sampling schemes. Contributions include: (i) improved capacitor health estimation using time-domain measurements and particle swarm optimization; (ii) a noninvasive monitoring method for power semiconductors using control variables; (iii) loss-landscape analysis to guide multi-parameter estimation; and (iv) switching signal reconstruction to enhance sampling efficiency. Overall, the work advances low-cost, accurate, and practical monitoring methods to improve converter reliability.
More details can be found here: https://www.energy.aau.dk/01-27-phd-defence-by-shuyu-ou-e148410
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- Pontoppidanstræde 111
- Aalborg, Frederiksberg Kommune
- Denmark 9220
- Room Number: 1.177
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