Data-Driven Method for the Measurement of Thickness/Depth Using Pulsed Eddy Current

被引：1

作者：

Tian, Lulu ^{[1
]}

Cheng, Yuhua ^{[1
]}

Yin, Chun ^{[1
]}

Huang, Xuegang ^{[2
]}

Zhang, Bo ^{[1
]}

Bai, Libing ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Automat Engn, West Hitech Zone, 2006 Xiyuan Ave, Chengdu 611731, Sichuan, Peoples R China

[2] China Aerodynam Res & Dev Ctr, Hyperveloc Aerodynam Inst, 6 South Sect,Second Ring Rd, Mianyang 621000, Sichuan, Peoples R China

来源：

SENSORS AND MATERIALS | 2017年 / 29卷 / 09期

基金：

中国国家自然科学基金;

关键词：

pulsed eddy current; thickness measurement; signal processing; nondestructive evaluation; principal component analysis (PCA); STAINLESS-STEEL; DEFECTS; TESTS; PIPE;

D O I：

10.18494/SAM.2017.1610

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

A data-driven method is used to measure the thickness/subsurface-crack-depth of metal specimens. The measuring system is driven by a pulsed eddy current (PEC), and for every detection process a huge data set is obtained because. of the high detection speed. To choose the best data to compute the thickness/subsurface-crack-depth, the Jarque-Bera (JB) statistical test is imported into the algorithm. The proposed method is applied to select the best data from the huge detection data set by utilizing the statistical characteristics of the data. Influenced by noise, the detection results may differ when the same thickness/subsurface-crack-depth is measured. To guarantee the accuracy of the measurement, principal component analysis (PCA) is used to combine all detection data. Experimental results show the advantages of the proposed method.

引用

页码：1325 / 1338

页数：14

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