Study of the abnormal vibration detection method for in-service structure using semi-supervised Learning by autoencoder

Study of the abnormal vibration detection method for in-service structure using semi-supervised Learning by autoencoder

This study concerns a method for detecting the structural anomaly of F type support information board from acceleration measurements. The evaluation of structural anomaly is performed by the autoencoder method．By the proposed method, training of the autoencoder is conducted from data of normal condi...

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Bibliographic Details
Main Authors: Tatsuya FUJIMOTO, Atsushi IWASAKI, Takatoshi YAMAGISHI, Kazuhisa NAKANO, Hiroyuki NAKAMURA, Satoshi OIKAWA, Kouji YAMAMOTO
Format: Article
Language:Japanese
Published: The Japan Society of Mechanical Engineers 2023-07-01
Series:Nihon Kikai Gakkai ronbunshu
Subjects:
structural diagnosis
neural network
anomaly detection
structural health monitoring
mode analysis
vibration analysis
autoencoder
structure in service
Online Access:https://www.jstage.jst.go.jp/article/transjsme/89/923/89_23-00074/_pdf/-char/en

Internet

https://www.jstage.jst.go.jp/article/transjsme/89/923/89_23-00074/_pdf/-char/en

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