@inproceedings{c2f09e01040a484db0bca00dd2aee1b7,
title = "Temporal characteristics of MHD modes initiating disruptions",
abstract = "In the context of disruption prediction, it is important to determine parameters influencing the mode duration. According to the results presented here, those could be device and disruption-class dependent. A multi-machine comparative approach is important to provide a reliable scaling of locked mode amplitude-based warning times for disruption prediction in ITER. Experimental data from AUG and JET show that 100% success rate in those devices would not be met with only locked mode amplitude used for disruption prediction. Developing reliable multi-parameter disruption prediction algorithms may be necessary to achieve the success rate requirements in ITER (eventually > 95%). The amplitude of rotating modes may be a good candidate signal in this context and it is important to examine what determines the fraction of rotating modes triggering disruptions.",
author = "V. Klevarova and {De Vries}, {P. C.} and M. Lehnen and G. Pautasso and T. Markovic and M. Komm and J. Havlicek and Snipes, {J. A.} and H. Zohm and G. Verdoolaege",
note = "Publisher Copyright: {\textcopyright} 2017 IOP Publishing Ltd.; 44th European Physical Society Conference on Plasma Physics, EPS 2017 ; Conference date: 26-06-2017 Through 30-06-2017",
year = "2017",
language = "English",
isbn = "9781510849303",
series = "44th EPS Conference on Plasma Physics, EPS 2017",
publisher = "European Physical Society (EPS)",
editor = "A. Bret and M. Fajardo and E. Westerhof and A. Melzer and B. Dromey and C. Riconda",
booktitle = "44th EPS Conference on Plasma Physics, EPS 2017",
}