Data Mining Technology for Structural Health Monitoring

نویسندگان

  • Zhongdong Duan
  • Kun Zhang
چکیده

Data mining (DM) technology provides a potential solution to structural health monitoring (SHM) as a deeper data analysis method. In this paper, a comprehensive introduction to the background, definition, function, process, methods and advantage of DM technology is made. The research and application state of DM technology in various fields is reviewed. Responding to the need of SHM and the characteristics of monitoring data, a DM framework for SHM is proposed. This framework includes task definition, build of data-house, data preprocessing, data mining and scheme evaluation. Data preprocessing is stressed for an effective DM scheme, which may include data selection and cleaning, data reduction and transformation. The DM framework is integrated to a DM platform for SHM and the DM platform is modularized. The main tasks which need be solved in using DM technology for SHM are analyzed. Some examples are illustrated on how to utilize specific DM techniques to mine monitoring data. Keyword: Structural health monitoring, data mining, framework, platform, modularization

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تاریخ انتشار 2009