書誌事項
- タイトル別名
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- 20104 A Trial on Defect Detection using Strain Checker and Neural Network
抄録
Purpose of this study is to trail on defect detection using strain checker and neural network. Training data and input data in neural network were used both strain distributions obtained by finite element analysis (FEA), and measured with the strain checkers, respectively. Neural network program employed in this study is statistical analysis software "R". Stress distributions on plate specimen with an artificial defect subjected to 3-points bending moment were investigated from analytical and experimental methods. Neural network was carried out to estimate for a position and a depth of the defect. Furthermore, effects of distance from load point and geometry variation of defect on detection accuracy were simulated. As a result, it was confirmed that this approach is applicable in the defect detection.
収録刊行物
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- 日本機械学会関東支部総会講演会講演論文集
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日本機械学会関東支部総会講演会講演論文集 2015.21 (0), _20104-1_-_20104-2_, 2015
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
- 1390282680826299904
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- NII論文ID
- 110009948285
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- ISSN
- 24242691
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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
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可