基于软计算方法的结构损伤信息融合

    Structural Damage Information Fusion Based on Soft Computing

    • 摘要: 为了提高多传感器下损伤识别结果的精度,提出了结构整体支持向量机损伤诊断矩阵、损伤自信息和损伤信息熵的概念.将结构划分为多个子结构后,针对各个子结构分别进行样本采集训练并建立结构整体支持向量机损伤诊断矩阵,同时利用信息熵实现了特征层融合.基于模糊集理论、物元理论和模糊神经网络,研究了3种结构损伤信息决策层融合和评估的方法.对一个空间结构算例的损伤信息进行了多层次融合,结果表明:所提出的特征层融合方法及3种决策层信息融合方法准确有效.

       

      Abstract: Information fusion is introduced to enhance the accuracy of damage detection with multi sensors.In the damage information fusion for character level,the concept for integral support vector machine damage detection matrix,damage self-information and damage information entropy are presented.The structure is divided into multiple substructures,the data acquisition and support vector machine are established for each substructure in order to form integral SVM damage detection matrix.In the damage information fusion for decision level,the methods based on fuzzy set theory,material element theory and fuzzy neural network are studied.The results,proven by a numerical example of space structure,show that the methods are valid and effective.

       

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