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In addition, we developed an SPE that delivers approximate results with accuracy guarantees, by avoiding unnecessary load.Finally, we contribute a hybrid technique, which can further improve load balance and performance of an SPE.Given the volatile and uncharted nature of data streams, achieving the aforementioned goals under fixed resources is a challenge.
In this Ph D thesis, we ensure that the introduction of this emerging technology does not lead to a regression of performance at system level.
Once we establish the conducted emissions models, different filtering solutions have been used: external and internal passive filters.
To this end, we present new approaches, which are applicable to both exact and approximate stream processing in modern SPEs.
Our solutions offer improvements in performance and accuracy on real-world data.
The modeling approach chosen is of the direct type ; it consists of representing the electromechanical chain in the common mode base by two ports networks.
This generic model allows us to estimate common mode currents directly in the frequency domain at different locations.
Besides, one of the main challenges associated to MEA is thus to drastically increase the power density of electrical power systems, without compromising on reliability.
The development of new Wide Bandgap (WBG) semiconductor technologies made of Silicon Carbide, can significantly increase efficiency, performance and power density of adjustable speed electrical power drive systems.
In the past, three techniques have been developed for improving an SPE’s ability to adapt.
Those techniques are classified based on applications’ requirements on exact or approximate results: stream partitioning, and re-partitioning target exact, and load shedding targets approximate processing.