ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 原著論文

A new vertical instability predictor via precursor oscillation detection with performance monitoring of equilibrium controller

https://repo.qst.go.jp/records/86179
https://repo.qst.go.jp/records/86179
361f5ea7-7b12-4413-9d4e-24eda9517a79
Item type 学術雑誌論文 / Journal Article(1)
公開日 2022-05-25
タイトル
タイトル A new vertical instability predictor via precursor oscillation detection with performance monitoring of equilibrium controller
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 Shizuo, Inoue

× Shizuo, Inoue

WEKO 1055596

Shizuo, Inoue

Search repository
Yoshiaki, Miyata

× Yoshiaki, Miyata

WEKO 1055597

Yoshiaki, Miyata

Search repository
Hajime, Urano

× Hajime, Urano

WEKO 1055598

Hajime, Urano

Search repository
Takahiro, Suzuki

× Takahiro, Suzuki

WEKO 1055599

Takahiro, Suzuki

Search repository
Shizuo, Inoue

× Shizuo, Inoue

WEKO 1055600

en Shizuo, Inoue

Search repository
Yoshiaki, Miyata

× Yoshiaki, Miyata

WEKO 1055601

en Yoshiaki, Miyata

Search repository
Hajime, Urano

× Hajime, Urano

WEKO 1055602

en Hajime, Urano

Search repository
Takahiro, Suzuki

× Takahiro, Suzuki

WEKO 1055603

en Takahiro, Suzuki

Search repository
抄録
内容記述タイプ Abstract
内容記述 We first propose an accurate and robust vertical instability predictor by using a support vector machine (SVM), one of the machine learning methods. The predictor is trained to detect precursor oscillation by using newly introduced classification parameters to measure the equilibrium controller performance, which is obtained by the adaptive voltage allocation scheme (Inoue et al 2021 Nuclear Fusion 61 096009). Furthermore, multi-layered preprocessing filters are newly introduced for the SVM training/prediction, which improves the prediction accuracy under highly imbalanced conditions, where ∼500 disruptive data while ∼3 × 106 non-disruptive data. The classification parameters can be calculated only by the current centroid, which suggests that the proposed predictor is robust against the extrapolation for the experiment and will be validated in JT-60SA experiments.
書誌情報 Nuclear Fusion

巻 62, p. 086007, 発行日 2022-05
ISSN
収録物識別子タイプ ISSN
収録物識別子 0029-5515
DOI
識別子タイプ DOI
関連識別子 10.1088/1741-4326/ac6c39
関連サイト
識別子タイプ URI
関連識別子 https://iopscience.iop.org/article/10.1088/1741-4326/ac6c39
戻る
0
views
See details
Views

Versions

Ver.1 2023-05-15 16:47:12.176314
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3