Item type |
紀要論文 / Departmental Bulletin Paper(1) |
公開日 |
2020-11-24 |
タイトル |
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タイトル |
自己組織化マップを用いた構造-音場連成系における欠陥の同定 |
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言語 |
ja |
タイトル |
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タイトル |
Structural Defect Identification in Coupled Structural-acoustic System by Self Organizing Maps |
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言語 |
en |
言語 |
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言語 |
jpn |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Defect Identification |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Coupled structual-acoustic System |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Self Organizing Map |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
FEM |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
departmental bulletin paper |
ID登録 |
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ID登録 |
10.34411/00001069 |
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ID登録タイプ |
JaLC |
著者 |
小机, わかえ
宮地, 秀征
伊藤, みか
大村, 勝俊
Kozukue, Wakae
Miyaji, Hideyuki
Ito, Mika
Ohmura, Katsutoshi
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抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
In a coupled structural-acoustic system which has a box structure and interior air the position of a defect included in the structure is identified by using the frequency response of sound pressure level in the interior sound field. For the analysis of coupled structural-acoustic system Finite Element Method (FEM) is utilized. The box including a defect is excited by dynamical load and the frequency response of the interior sound are learned by Self-organizing Maps (SOM) as an input vector and the maps is drawn in the 2-dimensional plane. The frequency response for the model whose defect position is not known is given to the trained maps, and the identification is carried out. As a result the good accuracy of the identification is obtained. Furthermore, it is confirmed that the identification by SOM has better accuracy than by the other neural network such as LVQ (Leaming Vector Qantization) or BNN (Back Propagation Neural Network). |
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言語 |
en |
書誌情報 |
神奈川工科大学研究報告.B,理工学編
巻 36,
p. 15-18,
発行日 2012-03-20
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出版者 |
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出版者 |
神奈川工科大学 |
ISSN |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
09161902 |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AN10074179 |
フォーマット |
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内容記述タイプ |
Other |
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内容記述 |
application/pdf |
著者版フラグ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |