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  1. データ

Yorozugawa Bridge Database 3/6 State_2

https://kitami-it.repo.nii.ac.jp/records/2000040
https://kitami-it.repo.nii.ac.jp/records/2000040
ec8756ce-6424-4464-ab25-b84c6e00126c
名前 / ファイル ライセンス アクション
Readme.pdf Readme.pdf (539 KB)
state_2-1.zip state_2-1.zip (51.1 MB)
state_2-2.zip state_2-2.zip (53.1 MB)
state_2-3.zip state_2-3.zip (49.9 MB)
state_2-4.zip state_2-4.zip (54.2 MB)
state_2-5.zip state_2-5.zip (44.7 MB)
Item type データ / Data or Dataset(1)
公開日 2021-05-17
タイトル
言語 en
タイトル Yorozugawa Bridge Database 3/6 State_2
言語
言語 eng
資源タイプ
資源 http://purl.org/coar/resource_type/c_ddb1
タイプ dataset
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
著者 ZHANG, YOUQI

× ZHANG, YOUQI

WEKO 90185

en ZHANG, YOUQI

Search repository
内容記述
内容記述タイプ Abstract
内容記述 Date of data creation: Nov, 2017
Explanation of the data: Acceleration data from 15 sensors on the Yorozugawa Bridge Specimen in the free-damped vibration experiment referred in a paper*. Each CSV file has 15 columns corresponding to each accelerometer.
* Zhang Y, Miyamori Y, Mikami S, Saito T. Vibration-based structural state identification by a 1-dimensional convolutional neural network. Comput Aided Civ Inf. Volume 34, Issue 9, pages 822-839, 2019. https://doi.org/10.1111/mice.12447
言語 en
内容記述
内容記述タイプ Other
内容記述 データの説明は「Readme.pdf」をご覧ください。
ファイル数が多いので6つのアイテムに分かれており、さらに各Stateのデータを分割して複数の圧縮ファイルにしてアップロードしています。
・1/6:State_0
・2/6:State_1
・3/6:State_2
・4/6:State_3
・5/6:State_4
・6/6:State_5
※データの番号で欠番になっているのは、エラーデータを削除したためです。
言語 ja
内容記述
内容記述タイプ Other
内容記述 Description of the data, please refer "Readme.pdf".
Because of the large number of files, it is divided into 6 items.
And the data of each State is divided into multiple compressed files and uploaded.
・1/6:State_0
・2/6:State_1
・3/6:State_2
・4/6:State_3
・5/6:State_4
・6/6:State_5
*Some error data (cause by hammer impact overload, double impact, etc.) are not included in the database.
言語 en
日付
日付 2017-11
日付タイプ Created
日付
日付 2021-05
日付タイプ Issued
著者版フラグ
値 author
リンク Vibration‐based structural state identification by a 1‐dimensional convolutional neural network
Yorozugawa Bridge Database 1/6 State_0
Yorozugawa Bridge Database 2/6 State_1
Yorozugawa Bridge Database 4/6 State_3
Yorozugawa Bridge Database 5/6 State_4
Yorozugawa Bridge Database 6/6 State_5
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