Structural Health Monitoring (SHM), as a method to monitor structures continuously, is gaining increasing interest in the NDE community. Many SHM systems are currently using only one specific source of information to extract knowledge regarding the structural state. Moreover the output of many SHM systems tends to be black or white, often not taking uncertainties into account. This limits the reliability performance of these systems. In the area of Knowledge Management (KM) there are already many available techniques which may perform the reasoning under uncertainty and the decision-making by using different knowledge technologies and information sources. Such approaches might incorporate technological risks e.g. constraints on software or hardware development, and non-technological risk associated with economic factors of SHM, particularly cost, present value, and return on investment. Those risk parameters have an influence on maintenance programs, the advancement of SHM systems, and ultimately on decision-making. This contribution proposes to integrate the systematic approaches from KM into SHM in order to improve the reliability of SHM systems.


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    Title :

    Towards integration of a knowledge-based approach into SHM


    Contributors:


    Publication date :

    2013


    Size :

    8 Seiten, 4 Bilder, 13 Quellen



    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English