Amorphous/crystalline Fe55Ni20Cu5P10Si5B5composite produced by two-component melt–spinning
Krzysztof Ziewiec , Mirosława Wojciechowska , Kristian Prusik , Jarosław Ferenc , Dariusz Mucha , Aneta Ziewiec
AbstractThe aim of this paper is to present a signal processing algorithm that, applied to the raw Locked Mode signal, allows us to obtain a disruption indicator in principle exploitable on different tokamaks. A common definition of such an indicator for different machines would facilitate the development of portable systems for disruption prediction, which is becoming of increasingly importance for the next tokamak generations. Moreover, the indicator allows us to overcome some intrinsic problems in the diagnostic system such as drift and offset. The behavior of the proposed indicator as disruption predictor, based on crossing optimized thresholds of the signal amplitude, has been analyzed using data of both JET and ASDEX Upgrade experiments. A thorough analysis of the disruption prediction performance shows how the indicator is able to recover some missed and tardy detections of the raw signal. Moreover, it intervenes and corrects premature or even wrong alarms due to, e.g., drifts and/or offsets. © 2018 Elsevier B.V.
|Journal series||Materials Science and Technology, ISSN 0267-0836, e-ISSN 1743-2847|
|Publication size in sheets||0.5|
|Keywords in English||Disruption indicators; Disruption prediction; Feature extraction; Locked mode signal; Tokamak|
|ASJC Classification||; ; ;|
|Score||= 70.0, 24-08-2020, ArticleFromJournal|
|Publication indicators||= 0; = 0; : 2017 = 1.004; : 2018 = 1.938 (2) - 2018=1.882 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.