日本機械学会関東支部総会講演会講演論文集
Online ISSN : 2424-2691
ISSN-L : 2424-2691
セッションID: 07309
会議情報
統計的異常診断手法による学習不要構造ヘルスモニタリング(モニタリング,OS.6 折り紙・針金/スマートストラクチャ)
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 a structural health monitoring which is applicable to existing structures from the present moment. In this method, structural condition is statistically diagnosed by change of a response surface which is regression model of sensor's outputs. Change of response surface is statistically tested with F-test. In the F-test, a threshold value of normal/troubled condition is simply decided from 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 troubled condition. To confirm the effectiveness of the presented method, health monitoring of jet fan is conducted. Load cells are mounted to a supporting system of the jet fan. Response surface is calculated from vibration data measured by the load cells. As a result, structural condition of the jet fan is successfully diagnosed with the method.
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© 2004 一般社団法人 日本機械学会
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