数据融合技术及其在涡流信号处理中的应用  

DATA FUSION AND ITS APPLICATION TO EDDY CURRENT SIGNAL PROCESSING

作　　者：游凤荷[1] 孙砚飞[1] 

机构地区：[1]武汉理工大学,武汉430070

出　　处：《无损检测》2003年第2期92-95,共4页Nondestructive Testing

摘　　要：介绍数据融合技术的几种方法,结合多频涡流检测的信息融合研究,着重介绍模糊集融合算法,并用遗传算法来近似最优地确定模糊参数,其优点在于当各融合源先验信息未知的情况下,能以近似最优的方法对信息进行融合。最后给出用该方法对硬化层深多频涡流检测信息融合的结果。研究证明,数据融合技术较适用于多频涡流检测。Several methods of data fusion were presented. Emphasis was on a fuzzy set data fusion algorithm which could be used for multi-frequency eddy current signal processing. The parameters of fuzzy aggregation were found with genetic algorithms. The superiority of the algorithm was its capability of fusing data in a near-optimal manner when the information of the fusing sources was unknowa The data fusion result in testing the hardened depth of metal with multi-frequency eddy current method was given at the end. Research showed that data fusion was applicable for multi-frequency eddy current testing.

关 键 词：涡流检测 模糊性理论 信号处理 数据融合 硬化层深度 

分 类 号：TG115.28[金属学及工艺—物理冶金] TP212[金属学及工艺—金属学]