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  Multimachine Data–Based Prediction of High-Frequency Sensor Signal Noise for Resistive Wall Mode Control in ITER

Liu, Y., Sabbagh, S. A., Chapman, I. T., Gerasimov, S., Gribov, Y., Hender, T. C., et al. (2016). Multimachine Data–Based Prediction of High-Frequency Sensor Signal Noise for Resistive Wall Mode Control in ITER. Fusion Science and Technology, 70(3), 387-405. doi:10.13182/FST15-207.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-4C5B-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-AD42-1
Genre: Journal Article

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liu_multimachine.pdf (Supplementary material), 6MB
 
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http://dx.doi.org/10.13182/FST15-207 (Publisher version)
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 Creators:
Liu, Y.1, Author
Sabbagh, S. A.1, Author
Chapman, I. T.1, Author
Gerasimov, S.1, Author
Gribov, Y.1, Author
Hender, T. C.1, Author
Igochine, V.2, Author           
Maraschek, M.2, Author           
Matsunaga, G.1, Author
Okabayashi, M.1, Author
Straiti, E. J.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856321              

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Language(s): eng - English
 Dates: 20152016
 Publication Status: Issued
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.13182/FST15-207
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Title: Fusion Science and Technology
Source Genre: Journal
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Publ. Info: La Grange Park, IL : American Nuclear Society
Pages: - Volume / Issue: 70 (3) Sequence Number: - Start / End Page: 387 - 405 Identifier: ISSN: 1536-1055
CoNE: https://pure.mpg.de/cone/journals/resource/954925542208