Coefficients de-noising with wavelet transform for magnetic flux leakage data obtained from oil pipeline

作     者：韩文花 Que Peiwen 

作者机构：Institute of Automatic Detection Shanghai Jiaotong University Shanghai 200030 P.R. China 

出 版 物：《High Technology Letters》 (高技术通讯（英文版）)

年 卷 期：2005年第11卷第4期

页      面：406-409页

核心收录：

学科分类：0820[工学-石油与天然气工程] 080706[工学-化工过程机械] 08[工学] 0807[工学-动力工程及工程热物理] 082003[工学-油气储运工程] 

基　　金：国家高技术研究发展计划(863计划) 

主　　题：magnetic flux leakage coefficients de-noising wavelet transform pipeline inspection system noise flaw signals 

摘      要：This paper considers the problem of noise cancellation for the magnetic flux leakage (MFL) data obtained from the inspection of oil pipelines. MFL data is contaminated by various sources of noise, and the noise can considerably reduce the detectability of flaw signals in MFL data. This paper presents a new de-noising approach for removing the system noise contained in the MFL data by using the coefficients de-noising with wavelet transform. Experimental results are presented to demonstrate the advantages of this de-noising approach over the conventional wavelet de-noising method.