Disruption in a Tokamak reactor is a sudden loss of confinement that can cause damage to the machine walls and support structures. In this paper, we propose the use of a fuzzy time series (FTS) approach for detection of disruption in Tokamaks. In particular, two-factors FTS models have been exploited for the prediction of the time to disruption in the ASDEX-Upgrade machine. The concept of fuzzy logic is used taking into account that previous techniques make use of expert knowledge for deciding about the onset of a disruption.
Titolo: | Fuzzy time series approach for disruption prediction in Tokamak reactors |
Autori: | |
Data di pubblicazione: | 2003 |
Rivista: | |
Handle: | http://hdl.handle.net/20.500.12318/2787 |
Appare nelle tipologie: | 1.1 Articolo in rivista |
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