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:
Mar. 30, 2021

Filed:

Dec. 01, 2017
Applicants:

Hubei University of Technology, Wuhan, CN;

Tsinghua University, Beijing, CN;

China Special Equipment Inspection and Research Institute, Beijing, CN;

Eddysun (Xiamen) Electronic Co., Ltd., Xiamen, CN;

Huazhong University of Science and Technology, Wuhan, CN;

Inventors:

Songling Huang, Beijing, CN;

Xiaochun Song, Wuhan, CN;

Gongtian Shen, Beijing, CN;

Wei Zhao, Beijing, CN;

Junming Lin, Xiamen, CN;

Yihua Kang, Wuhan, CN;

Yu Zhang, Beijing, CN;

Shen Wang, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 29/06 (2006.01); G01N 29/44 (2006.01); G01N 29/42 (2006.01); G01N 29/24 (2006.01); G01N 29/46 (2006.01);
U.S. Cl.
CPC ...
G01N 29/0672 (2013.01); G01N 29/2412 (2013.01); G01N 29/42 (2013.01); G01N 29/44 (2013.01); G01N 29/4427 (2013.01); G01N 29/4481 (2013.01); G01N 29/46 (2013.01); G01N 2291/023 (2013.01); G01N 2291/0289 (2013.01); G01N 2291/0427 (2013.01); G01N 2291/106 (2013.01);
Abstract

Disclosed are a method and device for compressing and reconstructing data. The method includes: disposing a transmitting EMAT array and a receiving EMAT array; exciting a Lamb wave, receiving the Lamb wave, subjecting the Lamb wave to narrowband filtering with the narrowband frequency, to form detecting data x(n); analysing the detecting data with a DFT; reconstructing original detecting data and calculating a reconstruction error according to the measurement vector and the recovery matrix by using a TLBO algorithm; optimizing measurement vector and recovery matrix; transmitting the measurement vector to a supervisory device.


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