The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 14, 2018

Filed:

Dec. 07, 2015
Applicants:

Tsinghua University, Beijing, CN;

Shengli Oilfield Branch Company of China Petroleum Chemical Co., Ltd., Dongying, Shandong Province, CN;

Drilling Technology Research Institute of Sinopec Shengli Petroleum Engineering Co., Ltd., Dongying, Shandong Province, CN;

Inventors:

Songling Huang, Beijing, CN;

Wei Zhao, Beijing, CN;

Shen Wang, Beijing, CN;

Huanquan Sun, Dongying, CN;

Laiju Han, Dongying, CN;

Shihua Zhang, Dongying, CN;

Yongtai Sun, Dongying, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G01N 27/82 (2006.01); G01N 17/04 (2006.01);
U.S. Cl.
CPC ...
G01N 27/82 (2013.01); G01N 17/04 (2013.01);
Abstract

An imaging method and an imaging apparatus based on a magnetic flux leakage testing. The imaging method includes: selecting an imaging region having a corrosion defect on a pipeline to be tested; dividing the imaging region into a plurality of grid areas; scanning by a three-dimensional sensor array the pipeline to be tested so as to obtain magnetic flux leakage testing data; creating a three-dimensional orthogonal coordinate system in the imaging region, defining a first two-dimensional matrix of defect images according to the plurality of grid areas based on the three-dimensional orthogonal coordinate system, and creating a second two-dimensional matrix of magnetic flux leakage signals according to the magnetic flux leakage testing data based on the three-dimensional orthogonal coordinate system; and mapping the second two-dimensional matrix to the first two-dimensional matrix using a pre-trained wavelet neural network so as to image the corrosion defect.


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