On Information Fusion for Structural Soundness Appraisal in Bayesian Network
Zhenpeng Zhang · China Municipal Engineering · 2006
For full use of the information source from multiple sensors at different times and spaces in the large structure soundness monitoring system and to obtain the consistent decision and expected task of the object to be detected for higher accuracy of diagnosis, the concept of data fusion from multiple sensors and the general mechanism are introduced, including a proposed method for structural soundness monitoring based on the data fusion technique in Bayesian Network, with detailed description of the naive Bayesian Network and its extended structural formation and the way to determine the rate of network nodes, which are tested in projects. This way of structural soundness appraisal through the network is of higher accuracy, reliability and stability with effective mutual compensation between data sources.