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《Journal of Shenyang Architectural and Civil Engineering Institute》 2005-01
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Data Fusion Technique in Structural Health Monitoring

JIANG Shao-fei~1,WAG Liu-sheng~2,YIN Xiao-zhi~3,LIU Ming~1(1.School of Civil Engineering,Shenyang Jianzhu University,Shenyang,Liaoning,China,110168;2.Liaoyang Subordinate of China Petrol Engineering Co.Ltd.,Laoyang,Liaoning,111003;3.Shenyang Jiandu Engineering Co.Ltd.,Liaoyaing,Liaoning,110001)  
In order to make full use of different time-space multi-sensors information resources and to obtain the coincidence decision-making and assessment task of the objective from large-type structural health monitoring system,this paper,firstly,introduced the basic concepts and principals of multi-sensors data fusion.Secondly,the feasibility of the multi-sensors data fusion technique applied to the structural health monitoring was discussed.Thirdly,the method of data fusion-based structural health monitoring and diagnosis was emphasized and,the wavelet probabilistic neural network data fusion damage detection technique was proposed.Finally,it was investigated and discussed for data fusion technique to be applied in structural damage detection.The result showed that the method of data fusion-based structural health monitoring is feasible and effective.
【Fund】: 国家自然科学基金资助(50408033);; 国家十五科技攻关项目(2002BA806B-4-4C);; 辽宁省自然科学基金(20022136)
【CateGory Index】: TU317
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