Abstract
This article shows the development of a diagnostic tool that implements a new kind of disruption predictor. The new disruption predictor neither depends on data from past discharges nor is based on threshold amplitude. It is based on detecting anomalies in the data flow.In JET, with only the locked mode signal, the new predictor outperforms existing predictors.
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CITATION STYLE
Vega, J., Moreno, R., Pereira, A., Dormido-Canto, S., Murari, A., & Contributors, J. E. T. (2015). Advanced disruption predictor based on the locked mode signal: Application to JET. In Proceedings of Science (Vol. 2015-January). Proceedings of Science (PoS). https://doi.org/10.22323/1.240.0028
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