書誌事項
- タイトル別名
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- Unsupervised Structural Damage Diagnostic Method Using Judgement of Change of Response Surface by Statistical Tool. Application for Damage Detection of Composite Structure.
- トウケイテキ オウトウ ヘンカ ハンテイホウ ニ ヨル ガクシュウ ソンショウ データ フヨウ ノ ソンショウ シンダンホウ フクゴウ ザイリョウ セキソウ コウゾウ ノ ハクリ シンダン モンダイ エ ノ テキヨウ
この論文をさがす
抄録
Most of the structural health monitoring systems adopts parametric method based on modeling or non-parametric method such as artificial neural networks. The former method requires modeling of each structures and latter method requires a large number of data for the training. The modeling and data for the training demands high costs, and it is impossible to obtain training data of damaged state of inservice structure. By the present method, damages are detected by judging statistical difference of data of intact state and present state. The method requires data of un-damaged state and does not require the complicated modeling and large number of data for the training. As an example, the present study deals monitoring of delamination detections of a composite beam. The damages are detected from the change of strain data measured on the specimen surface by the statistical tools such as Response Surface and F-Statistics. As a result, the new method successfully diagnoses the damage without using the modeling and the data of damaged state.
収録刊行物
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- 日本機械学会論文集Ａ編
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日本機械学会論文集Ａ編 68 (673), 1292-1297, 2002
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390282679423466880
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- NII論文ID
- 110002370216
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- NII書誌ID
- AN0018742X
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- ISSN
- 18848338
- 03875008
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- NDL書誌ID
- 6311216
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可