小波空域去噪改进算法在焊接缺陷信号分析中的应用  

Application of Improved Wavelet Air Zone De-noising Algorithm in Welding Defect Signal Analysis

作　　者：尹欣[1,2] 孙新[1] 秦东浩[2] 

机构地区：[1]郑州航空工业管理学院,郑州450015 [2]西北工业大学.西安710072

出　　处：《煤矿机械》2011年第3期255-257,共3页Coal Mine Machinery

摘　　要：针对高温合金摩擦焊接头超声检测中缺陷信号特点,通过运用遗传算法对小波阈值函数进行寻优,提出一种小波空域相关系数去噪的改进算法。该方法可以对缺陷信号的相关系数进行非线性阈值处理,进而实现对非平稳焊接缺陷检测信号的去噪处理。为后续进一步实现缺陷的准确分析奠定基础。In view of the characteristic of defect supersonic examination signal of super-alloy friction welding joint, proposes one kind of wavelet air zone correlation coefficient de-noising improvement algorithm by using the genetic algorithm to carry on the optimization to the wavelet threshold value function. This method may carry on misalignment threshold value processing to the flaw signal correlation coefficient, and realize to de-noise to the non-steady weld defect detection signal. And it will lay the foundation for the following accurate analysis of the defects.

关 键 词：小波空域 去噪 改进 焊接缺陷 

分 类 号：TN911[电子电信—通信与信息系统] TP39[电子电信—信息与通信工程]