DC5: Optimizing EMI monitoring through compressed sensing: reducing sensor deployment for efficient data acquisition
Project: Optimizing EMI monitoring through compressed sensing: reducing sensor deployment for efficient data acquisition (WP2)
Host institution: KU Leuven (Belgium)
Supervisor: Dries Vanoost (KU Leuven, Belgium)
Co-supervisor(s): Davy Pissoort (KU Leuven, Belgium), Tom Hartman (UT, Netherlands), Marco Azpurua (EMC Barcelona, Spain)
Objectives:
- Develop and implement advanced, compressed sensing techniques to reduce data stored and processed by individual EMI sensors.
- Determine the minimum number of sensors required for a more comprehensive view of the EMI environment.
- Develop practical solutions that incorporate compressed sensing for capturing, analysing, and managing EMI data.
Expected Results:
- Implementation of compressed sensing techniques resulting in a substantial reduction in the amount of data necessary for individual EMI sensors.
- More streamlined, cost-effective and adaptable sensor networks capable of efficiently monitoring dynamic EMI conditions.
Planned secondment(s):
- Academic secondment: UT, Tom Hartman, M19-M21, 2M, Reducing Sensor Deployment in evolving power grids and renewable integration.
- Industrial secondment: EMC Barcelona, Marco azpurua, M30-M32, 2M, Compressed Sensing for Time Domain EMI sensors
Enrolment in Doctoral degree: KU Leuven (Belgium)