{"title":"A structural health monitoring method based on magneto-optic imaging technology","authors":"Yuhua Cheng, L. Bai, Y. Deng, G. Tian","doi":"10.1109/I2MTC.2012.6229640","DOIUrl":null,"url":null,"abstract":"A magneto-optic imaging system is presented in this paper to detect invisible and buried subsurface flaws in metallic structural, which can be used to monitor structural health. The resulting power of the MO imaging system is mainly given by the parameters of the MO thin films, the magnetic excitation device and image processing algorithms. In this paper, the choice of the MO thin films, the design of the magnetic excitation device and the development of the image processing approaches are introduced in detail. Experimental tests have been done and the method presented is evaluated by the experimental results.","PeriodicalId":387839,"journal":{"name":"2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2012.6229640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
A magneto-optic imaging system is presented in this paper to detect invisible and buried subsurface flaws in metallic structural, which can be used to monitor structural health. The resulting power of the MO imaging system is mainly given by the parameters of the MO thin films, the magnetic excitation device and image processing algorithms. In this paper, the choice of the MO thin films, the design of the magnetic excitation device and the development of the image processing approaches are introduced in detail. Experimental tests have been done and the method presented is evaluated by the experimental results.