Unsupervised Structural Damage Diagnosis Based on Change of Response Surface Using Statistical Tool : Application to Damage Detection of Composite Structure
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概要
- 論文の詳細を見る
Most structural health monitoring systems adopt parametric methods based on modeling or non-parametric methods such as artificial neural networks. The former methods require modeling of each structure, and the latter methods require a large number of data for training. These methods demand high costs, and it is impossible to obtain training data of the damaged state of an in-service structure. By the present method, damage is detected by judging the statistical difference between data of the intact state and the current state. The method requires data of the undamaged state, but does not require complicated modeling or data for training. As an example, the present study deals with the detection of delamination of a composite beam. Damage is detected from the change of strain data using statistical tools such as the response surface and F-statistics. As a result, the new method successfully diagnoses the damage without the need to use modeling or data of the damaged state.
- 一般社団法人日本機械学会の論文
- 2004-01-15
著者
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KOBAYASHI Hideo
Department of Medicine, Kidney Center, Tokyo Women's Medical University
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TODOROKI Akira
Department of Mechanical Science and Engineering, Tokyo Institute of Technology
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Todoroki A
Dep. Of Mechanical Sciences And Engineering. Tokyo Tech
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SHIMAMURA Yoshinobu
Department of Mechanical Engineering, Shizuoka University
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IWASAKI Atsushi
Department of Mechanical Engineering, Tokyo University
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Todoroki Akira
Tokyo Institute Of Technology
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Iwasaki Atsushi
Department Of Food Science And Technology Faculty Of Applied Life Science Nippon Veterinary And Life
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Iwasaki Atsushi
Department Of Mechanical Engineering Tokyo University
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Kobayashi Hideo
Department Of Cell Biology Institute Of Nephrology Graduate School Of Medical And Dental Sciences Ni
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Todoroki Akira
Department Of Mechanical Engineering And Science Tokyo Institute Of Technology
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Shimamura Yoshinobu
Department Of Mechanical Engineering And Science Tokyo Institute Of Technology
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Iwasaki Atsushi
Department Of Cardiovascular Medicine Kyoto University Graduate School Of Medicine
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Kobayashi Hideo
Department Of Bacteriology Ii National Institute Of Infectious Diseases
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Kobayashi Hideo
Department Of Mechanical Engineering And Science Tokyo Institute Of Technology
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Kobayashi Hideo
Department Of Applied Physics Waseda University
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