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Online Magnetic Flux Leakage Detection System for Sucker Rod Defects Based on LabVIEW Programming

by Ou Zhang1, Xueye Wei1

School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China.

* Corresponding Author: Ou Zhang. Email: email.

Computers, Materials & Continua 2019, 58(2), 529-544. https://doi.org/10.32604/cmc.2019.04075

Abstract

Aiming at the detection of the sucker rod defects, a real-time detection system is designed using the non-destructive testing technology of magnetic flux leakage (MFL). An MFL measurement system consists of many parts, and this study focuses on the signal acquisition and processing system. First of all, this paper introduces the hardware part of the acquisition system in detail, including the selection of the Hall-effect sensor, the design of the signal conditioning circuit, and the working process of the single chip computer (SCM) control serial port. Based on LabVIEW, a graphical programming software, the software part of the acquisition system is written, including serial port parameter configuration, detection signal recognition, original signal filtering, real-time display, data storage and playback. Finally, an experimental platform for the MFL detection is set up, and the MFL measurement is carried out on the transverse and longitudinal defects of the sucker rod surface. The experimental result shows that the designed acquisition and processing system has good detection performance, simple design and high flexibility.

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Cite This Article

APA Style
Zhang, O., Wei, X. (2019). Online magnetic flux leakage detection system for sucker rod defects based on labview programming. Computers, Materials & Continua, 58(2), 529-544. https://doi.org/10.32604/cmc.2019.04075
Vancouver Style
Zhang O, Wei X. Online magnetic flux leakage detection system for sucker rod defects based on labview programming. Comput Mater Contin. 2019;58(2):529-544 https://doi.org/10.32604/cmc.2019.04075
IEEE Style
O. Zhang and X. Wei, “Online Magnetic Flux Leakage Detection System for Sucker Rod Defects Based on LabVIEW Programming,” Comput. Mater. Contin., vol. 58, no. 2, pp. 529-544, 2019. https://doi.org/10.32604/cmc.2019.04075



cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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