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- W2378467982 abstract "To improve the validity of structural damage identification, multi-sensor data fusion technique is imported into structure health monitoring for large-scale civil engineering structures. In this paper, practical models for structural damage identification based on data fusion technique are put forward, and an evaluating indicator for structural damage identification methods is developed. Bayes method and D-S evidence theory, which are in common use in data fusion technique, are discussed through an experiment on two RC plates. The analysis results reveal that damage identification evaluating indicators with data fusion technique are higher than those with single structural damage identification method. That is to say, structural damage identification methods based on data fusion yield better results." @default.
- W2378467982 created "2016-06-24" @default.
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- W2378467982 date "2008-01-01" @default.
- W2378467982 modified "2023-09-25" @default.
- W2378467982 title "STUDY OF STRUCTURAL DAMAGE IDENTIFICATION METHODS BASED ON DATA FUSION" @default.
- W2378467982 hasPublicationYear "2008" @default.
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