Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloOn the identification of instabilities with neural networks on JET
Anno di pubblicazione2013
Formato
  • Elettronico
  • Cartaceo
Autore/iA. Murari; P. Arena; A. Buscarino; L. Fortuna; M. Iachello; JET-EFDA Contributors
Affiliazioni autori1 : Associazione EURATOM-ENEA per la Fusione, Consorzio RFX, 4-35127 Padova, Italy; / 2,3,4,5 : Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi-Università degli Studi di Catania, 95125 Catania, Italy; / 6 : JET-EFDA, Culham Science Centre, OX14 3DB Abingdon, UK.
Autori CNR e affiliazioni
  • ANDREA MURARI
Lingua/e
  • inglese
AbstractJET plasmas are affected by various instabilities, which can be particularly dangerous in high performance discharges. An identification method, based on the use of advanced neural networks, called Recurrent Neural Networks (RNNs), has been applied to ELMs. The potential of the recurrent networks to identify the dynamics of the instabilities has been first tested using synthetic data. The networks have then been applied to JET experimental signals. An appropriate selection of the networks topology allows identifying quite well the time evolution of the edge temperature and of the magnetic fields, considered the best indicators of the ELMs. A quite limited number of periodic oscillations are used to train the networks, which then manage to follow quite well the dynamics of the instabilities, in a recurrent configuration on one of the inputs. The time evolution of the aforementioned signals, also during intervals not used in the training and never seen by the networks, are properly reproduced. A careful analysis of the various terms in the RNNs has the potential to give clear indications about the nature of these instabilities and their dynamical behaviour.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da2
Pagine a6
Pagine totali5
RivistaNUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
ISSN: 0168-9002
Titolo chiave: NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
Numero volume della rivista720
Fascicolo della rivista-
DOI10.1016/j.nima.2013.03.039
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000320597900002)
  • Scopus (Codice:2-s2.0-84879058097)
Parole chiaveIdentification, Recurrent Neural Networks, Plasma instabilities, ELMs
Link (URL, URI)http://www.sciencedirect.com/science/article/pii/S0168900213003446
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioniThis work, supported by the European Communities under the contract of Association between EURATOM/ENEA, was carried out within the framework of the European Fusion Development Agreement. "Funding under Association Contract FU07-CT-2007-00053". / La rivista è pubblicata anche online con ISSN 1872-9576.
Strutture CNR
  • IGI — Istituto gas ionizzati
Moduli/Attività/Sottoprogetti CNR
  • ET.P05.003.001 : Esperimento RFX ed attività collegate
Progetti Europei
Allegati
On the identification of instabilities with neural networks on JET (documento privato )
Descrizione: L'allegato contiene l'articolo così come pubblicato.
Tipo documento: application/pdf

Dati associati a vecchie tipologie
I dati associati a vecchie tipologie non sono modificabili, derivano dal cambiamento della tipologia di prodotto e hanno solo valore storico.
Editore
  • ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, AMSTERDAM (Paesi Bassi)
Citazione bibliograficaMurari, A., et al. "On the identification of instabilities with neural networks on JET." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 720 (2013): 2-6.