Sensors

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Projects

Chaotic Analysis of Partial Discharge

Paul Lewin

The deterministic character of PD pulses predicted by theory can experimentally (real and numerical) be shown to be existent. Finding characteristic patterns in phase space enables field-data PD detection with high reliability.

Structured low-rank approximation

Ivan Markovsky

Today's state-of-the-art methods for data processing are model based. We propose a fundamentally new approach that does not depend on an explicit model representation and can be used for model-free data processing. From a theoretical point of view, the prime advantage of the newly proposed paradigm is conceptual unification of existing methods. From a practical point of view, the proposed paradigm opens new possibilities for development of computational methods for data processing.

People

Paul Lewin
Professor, Electronics and Computer Science (FPAS)

Ivan Markovsky
Lecturer, Electronics and Computer Science (FPAS)

Reno Choi
Senior Research Fellow, Geography (FSHS)

Ugur Mart
Research Fellow, Engineering Sciences (FEE)

Lyuboslav Petrov
Postgraduate Research Student, Electronics and Computer Science (FPAS)

Johannes Van Der Horst
Postgraduate Research Student, Electronics and Computer Science (FPAS)

Petrina Butler
Administrative Staff, Research and Innovation Services