【作者】 武华锋； 袁勇； 易俊；

【Author】 Wu Hua-feng~1 Yuan Yong~2 Yi Jun~3(1 Unit 95958 of Airforce,shanghai 200120;2 Materiel and fuel office,Logistic Department of Nanjing Airforce Military Region Nanjing 210018;3 Safety Engineering Institute Chongqing University of Science and Technology 400016)

【机构】 空军95958部队； 南空后勤部物资油料处； 重庆科技学院安全工程学院；

【摘要】 小波变换的多孔算法在分解与重构时不需下取样和上取样,较Mallat算法能更高地提高奇异性检测的定位精度,A超检测的缺陷回波信号是典型的奇异性信号,本文研究了基于多孔算法的小波分析及其在A超检测中实现缺陷精确定位中的应用,实验证明多孔算法能有效地提高A超检测的缺陷的定位精度。更多还原

【Abstract】 The a’ tuous algorithm of Wavelet Transform needn’t down-sampling and up-sampling when decompose and reconstruct signals,so it can improve precision of singular signals,defect echo wave signal is typical singular signal,Using WT based on a’ tuous algorithm shall have better effect on wave orientation than using Mallat algorithm.In this paper,wavelet transform based on a’ tuous algorithm and its application in defect echo wave orientation of A-UT were studied,the precision-contrast between two algorithms was made,and it turned out that a’ tuous algorithm can improve precision of defect orientation and achieve more information by experiment.更多还原