Descripción
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Disruptions in tokamaks devices are unavoidable, and they can have a significant impact on machine integrity. So it is very important have mechanisms to predict this phenomenon. Disruption prediction is a very complex task, not only because it is a multi-dimensional problem, but also because in order to be effective, it has to detect well in advance the actual disruptive event, in order to be able to use successful mitigation strategies. With these constraints in mind a real-time disruption predictor has been developed to be used in JET tokamak. The predictor has been designed to run in the Multithreaded Application Real-Time executor (MARTe) framework. The predictor ?Advanced Predictor Of DISruptions? (APODIS) is based on Support Vector Machine (SVM). | |
Internacional
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Si |
Nombre congreso
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IEEE 18th Real-time conference 2012 |
Tipo de participación
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960 |
Lugar del congreso
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Berkeley, California |
Revisores
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Si |
ISBN o ISSN
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978-1-4673-1082-6 |
DOI
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http://dx.doi.org/10.1109/RTC.2012.6418168 |
Fecha inicio congreso
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08/06/2012 |
Fecha fin congreso
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15/06/2012 |
Desde la página
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1 |
Hasta la página
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4 |
Título de las actas
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IEEE 18th Real-time conference 2012 NPSS |