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A Real-Time Disruption Prediction Tool for VDE on EAST

IEEE Transactions on Plasma Science, 2020
Vertical displacement event (VDE) is one of the most important events related to disruptions. A real-time disruption prediction tool for VDE is presented in this article.
N. Bao   +7 more
semanticscholar   +1 more source

Comparison of Advanced Machine Learning Tools for Disruption Prediction and Disruption Studies

IEEE Transactions on Plasma Science, 2013
Machine learning tools have been used since a long time ago to study disruptions and to predict their occurrence. On the other hand, the challenges posed by the quality and quantities of the data available remain substantial. In this paper, methods to optimize the training data set and the potential of kernels-based advanced machine learning tools are ...
Michal Odstrcil   +2 more
openaire   +1 more source

Disruption prediction using a full convolutional neural network on EAST

Plasma Physics and Controlled Fusion, 2020
In this study, a full convolutional neural network is trained on a large database of experimental EAST data to classify disruptive discharges and distinguish them from non-disruptive discharges.
B H Guo   +10 more
semanticscholar   +1 more source

Density limit disruption prediction using a long short-term memory network on EAST

Plasma Science and Technology, 2020
Disruption prediction using a long short-term memory (LSTM) algorithm has been developed on EAST, due to its inherent advantages in time series data processing.
K. ZHANG 张   +4 more
semanticscholar   +1 more source

Network Disruption Prediction Using Naïve Bayes Classifier

2019 2nd International Conference of Computer and Informatics Engineering (IC2IE), 2019
The most crucial challenge of internet service providers is to assure the availability and reliability of their services to their customers. The companies should prevent the customer's complaint by recognizing a potential disruption for the customers, especially in the category ‘under spec' condition (potentially impaired service).
Shinta Oktaviana   +3 more
openaire   +1 more source

Data-driven disruption prediction in GOLEM Tokamak using ensemble classifiers

Journal of Intelligent & Fuzzy Systems, 2020
A robust disruption prediction system is mandatory in a Tokamak control system as the disruption can cause malfunctioning of the plasma-facing components and impair irrecoverable structural damage to the vessel.
Jayakumar Chandrasekar   +2 more
semanticscholar   +1 more source

Improvements in disruption prediction at ASDEX Upgrade

Fusion Engineering and Design, 2015
Abstract In large-scale tokamaks disruptions have the potential to create serious damage to the facility. Hence disruptions must be avoided, but, when a disruption is unavoidable, minimizing its severity is mandatory. A reliable detection of a disruptive event is required to trigger proper mitigation actions.
ALEDDA, RAFFAELE   +4 more
openaire   +3 more sources

Disruption prediction investigations using Machine Learning tools on DIII-D and Alcator C-Mod

Plasma Physics and Controlled Fusion, 2018
Using data-driven methodology, we exploit the time series of relevant plasma parameters for a large set of disrupted and non-disrupted discharges to develop a classification algorithm for detecting disruptive phases in shots that eventually disrupt ...
Alcator C-Mod   +7 more
semanticscholar   +1 more source

Adaptive Learning for Disruption Prediction

2018
Accurate prediction of catastrophic events is becoming an important area of investigation in many research fields. In Tokamaks, detecting disruptions with sufficient anticipation time is a prerequisite to undertaking any remedial strategy, either for mitigation or for avoidance.
GELFUSA Michela   +6 more
openaire   +1 more source

A First Analysis of JET Plasma Profile-Based Indicators for Disruption Prediction and Avoidance

IEEE Transactions on Plasma Science, 2018
Reliable algorithms for disruption avoidance and prediction are foreseen to play a fundamental role in the JET control system for the successful operation of the machine in the upcoming deuterium-tritium campaigns.
A. Pau   +11 more
semanticscholar   +1 more source

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