材料力学部門講演会講演論文集
Online ISSN : 2433-1287
セッションID: 507
会議情報
異常データ学習不要の統計的診断手法を用いた既存構造物ヘルスモニタリング(OS1-2 診断・解析,OS1 構造ヘルスモニタリング)
岩崎 篤桑原 秀剛轟 章杉谷 恒也
著者情報
会議録・要旨集 フリー

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抄録
This research is about a statistical diagnostic method for the structural health monitoring which is applicable to existing structures from the present moment. In this method, structural condition is statistically diagnosed by the change of the response surface. The response surface is a regression model of sensor's outputs. The change of the response surface is statistically tested with the F-test. In the F-test, a threshold of normal or fault condition is simply investigated with a theoretical F-probability distribution. Therefore, this diagnostic method only requires data of intact condition and does not require the complicated modeling and information of fault condition. To confirm the effectiveness of the presented method, the health monitoring of jet fans is conducted. In this study, load cells are mounted to a supporting system of the jet fan. The response surface is calculated from time-series load data measured by the load cells. As a result, the structural condition of the jet fan is successfully diagnosed.
著者関連情報
© 2004 一般社団法人日本機械学会
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