Standaard Boekhandel gebruikt cookies en gelijkaardige technologieën om de website goed te laten werken en je een betere surfervaring te bezorgen.
Hieronder kan je kiezen welke cookies je wilt inschakelen:
Technische en functionele cookies
Deze cookies zijn essentieel om de website goed te laten functioneren, en laten je toe om bijvoorbeeld in te loggen. Je kan deze cookies niet uitschakelen.
Analytische cookies
Deze cookies verzamelen anonieme informatie over het gebruik van onze website. Op die manier kunnen we de website beter afstemmen op de behoeften van de gebruikers.
Marketingcookies
Deze cookies delen je gedrag op onze website met externe partijen, zodat je op externe platformen relevantere advertenties van Standaard Boekhandel te zien krijgt.
Je kan maximaal 250 producten tegelijk aan je winkelmandje toevoegen. Verwijdere enkele producten uit je winkelmandje, of splits je bestelling op in meerdere bestellingen.
A tokamak is a machine in which the toroidal and poloidal magnetic fields are produced to confine the plasma. It is designed for achieving the controlled thermonuclear fusion power. In the process of fusion, some layers of heated plasma become cooler than the other layers, which are called "Magnetic Islands". Magnetic Islands are an important limitation in the performance of tokamaks. Localized heating by Electron Cyclotron Heating (ECH) systems is a promising tool to eliminate the Magnetic Islands and control the plasma. In this book a detection algorithm which has been developed by Prof. Gabriele D'Antona is introduced and implemented on a set of off-line data. Detection and estimation methods are used to simulate the algorithm for determining the ECH power deposition radius in the plasma by processing the signals obtained from Electron Cyclotron Emission (ECE) sensors and the prior information. It has been found that the presented algorithm has successfully determined the deposition radius and it is very applicable in tokamaks. The simulations developed in MATLAB Simulink(R) and also show that the algorithm is pretty well consistent with respect to the noise.