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.
出处
《无损检测》
2003年第2期92-95,共4页
Nondestructive Testing
