Jong-In Cheon, Ming-Yuan Hsieh, Y. Yeh, H. Ogai, H. Inujima
{"title":"Development of Bridge Diagnosis Technology by Independent Component Analysis","authors":"Jong-In Cheon, Ming-Yuan Hsieh, Y. Yeh, H. Ogai, H. Inujima","doi":"10.1109/SICE.2006.314731","DOIUrl":null,"url":null,"abstract":"This paper focuses on maintaining a bridge's safety by developing a daily management system. And the purpose of this study is the development of the health monitoring system. It supports the maintenance by independent component analysis (ICA) when there are some troubles in a bridge. The result of this study brings out the vibration behavior of the overall structure in a bridge. This vibration is caused by the external force such as heavy weight impact, wind pressure, and running vehicle. The character frequency was extracted from the analysis result using ICA and Spectral Analysis. When the vibration behavior caused by external force is very small in the bridge, ICA can detect the vibration response from the analysis result. Therefore, it is proved that the potential of detection was high by ICA","PeriodicalId":309260,"journal":{"name":"2006 SICE-ICASE International Joint Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 SICE-ICASE International Joint Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2006.314731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper focuses on maintaining a bridge's safety by developing a daily management system. And the purpose of this study is the development of the health monitoring system. It supports the maintenance by independent component analysis (ICA) when there are some troubles in a bridge. The result of this study brings out the vibration behavior of the overall structure in a bridge. This vibration is caused by the external force such as heavy weight impact, wind pressure, and running vehicle. The character frequency was extracted from the analysis result using ICA and Spectral Analysis. When the vibration behavior caused by external force is very small in the bridge, ICA can detect the vibration response from the analysis result. Therefore, it is proved that the potential of detection was high by ICA