Applications of adaptive fuzzy lifting wavelet transform in MFL signal processing

被引：9

作者：

Ji, Fengzhu ^{[1
]}

Sun, Shiyu ^{[1
]}

Wang, Changlong ^{[1
]}

Zhang, Haipeng ^{[2
]}

Liu, Dongyan ^{[3
]}

机构：

[1] Shijiazhuang Vocat Technol Inst, Mech Engn Coll, Dept Elect Engn, Shijiazhuang 050005, Hebei, Peoples R China

[2] Shijiazhuang Vocat Technol Inst, Dept Informat Engn, Shijiazhuang 050005, Hebei, Peoples R China

[3] Unit 63981, Wuhan 430000, Hubei, Peoples R China

来源：

INSIGHT | 2010年 / 52卷 / 01期

关键词：

preprocessing; magnetic flux leakage signals; adaptive; lifting wavelet transform; fuzzy threshold;

D O I：

10.1784/insi.2010.52.1.16

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

The processing of magnetic flux leakage signals is a key element in the MFL inspection. technique and guarantees for the implementation of quantitative testing of pipelines. A de-noising algorithm - adaptive fuzzy lifting wavelet transform - is presented to solve the problem of noise reduction in MFL signals. According to the theory and characteristics of the lifting wavelet transform, the improved algorithm is proposed by using air adaptive algorithm. The problem of nonlinearity caused by the adaptive algorithm is solved by using an update first lifting scheme. To verify the effectiveness of the improved lifting scheme, a fuzzy threshold filter algorithm is applied to the noise reduction of the MFL signals. The results show that the improved lifting scheme has achieved better noise reduction than that achieved by traditional wavelet transform. It is a feasible wail to process MFL inspection signals.

引用

页码：16 / 19

页数：4

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