IndTech

Wilhelm Söderkvist Vermelin

Wilhelm Söderkvist Vermelin

Educational background

Wilhelm Söderkvist Vermelin has a background in physics and applied mathematics. 

Work Experience

Wilhelm has worked in research projects regarding digitalization of induction hardening (DigPIn), data-driven disturbance handling (D3H and DFusion) and increased reliability in electronic components (iREL4.0).

Research Interests

His research interests include data analysis, machine learning and data management in industry and production. The research involves applying data driven methods in an industrial context such as e.g.

• Predictive maintenance
• Quality control
• Disturbance handling
• Traceability

An important aspect in the research is to explore how small and medium sized enterprises (SME’s) can adopt new digital technologies and methods for strengthening their competitiveness.

Publications

2023

Data-Driven Remaining Useful Life Estimation of Discrete Power Electronic Devices. Authors: Wilhelm Söderkvist Vermelin, Andreas Lövberg, Maciej Misiorny, Mattias P. Eng, and Klas Brinkfeldt. 

2022

Self-supervised learning for efficient remaining useful life prediction. Authors: Wilhelm Söderkvist Vermelin,Andreas Lövberg,Konstantinos Kyprianidis

Projects

DigPIn: Digitalization of induction hardening.

D3H and DFusion: Data-driven disturbance handling.

iREL4.0: Increased reliability in electronic components.

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