Quantitative Inspection of Remanence of Broken Wire Rope Based on Compressed Sensing

Most traditional strong magnetic inspection equipment has disadvantages such as big excitation devices, high weight, low detection precision, and inconvenient operation. This paper presents the design of a giant magneto-resistance (GMR) sensor array collection system. The remanence signal is collect...

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Main Authors: Juwei Zhang, Xiaojiang Tan
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/9/1366
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author Juwei Zhang
Xiaojiang Tan
author_facet Juwei Zhang
Xiaojiang Tan
author_sort Juwei Zhang
collection DOAJ
description Most traditional strong magnetic inspection equipment has disadvantages such as big excitation devices, high weight, low detection precision, and inconvenient operation. This paper presents the design of a giant magneto-resistance (GMR) sensor array collection system. The remanence signal is collected to acquire two-dimensional magnetic flux leakage (MFL) data on the surface of wire ropes. Through the use of compressed sensing wavelet filtering (CSWF), the image expression of wire ropes MFL on the surface was obtained. Then this was taken as the input of the designed back propagation (BP) neural network to extract three kinds of MFL image geometry features and seven invariant moments of defect images. Good results were obtained. The experimental results show that nondestructive inspection through the use of remanence has higher accuracy and reliability compared with traditional inspection devices, along with smaller volume, lighter weight and higher precision.
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spelling doaj.art-2bf8ea2ac33244e68d802c55311073cb2022-12-22T04:01:27ZengMDPI AGSensors1424-82202016-08-01169136610.3390/s16091366s16091366Quantitative Inspection of Remanence of Broken Wire Rope Based on Compressed SensingJuwei Zhang0Xiaojiang Tan1College of Electrical Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaCollege of Electrical Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaMost traditional strong magnetic inspection equipment has disadvantages such as big excitation devices, high weight, low detection precision, and inconvenient operation. This paper presents the design of a giant magneto-resistance (GMR) sensor array collection system. The remanence signal is collected to acquire two-dimensional magnetic flux leakage (MFL) data on the surface of wire ropes. Through the use of compressed sensing wavelet filtering (CSWF), the image expression of wire ropes MFL on the surface was obtained. Then this was taken as the input of the designed back propagation (BP) neural network to extract three kinds of MFL image geometry features and seven invariant moments of defect images. Good results were obtained. The experimental results show that nondestructive inspection through the use of remanence has higher accuracy and reliability compared with traditional inspection devices, along with smaller volume, lighter weight and higher precision.http://www.mdpi.com/1424-8220/16/9/1366wire roperemanence inspectioncompressed sensingwavelet filterquantitative recognition
spellingShingle Juwei Zhang
Xiaojiang Tan
Quantitative Inspection of Remanence of Broken Wire Rope Based on Compressed Sensing
Sensors
wire rope
remanence inspection
compressed sensing
wavelet filter
quantitative recognition
title Quantitative Inspection of Remanence of Broken Wire Rope Based on Compressed Sensing
title_full Quantitative Inspection of Remanence of Broken Wire Rope Based on Compressed Sensing
title_fullStr Quantitative Inspection of Remanence of Broken Wire Rope Based on Compressed Sensing
title_full_unstemmed Quantitative Inspection of Remanence of Broken Wire Rope Based on Compressed Sensing
title_short Quantitative Inspection of Remanence of Broken Wire Rope Based on Compressed Sensing
title_sort quantitative inspection of remanence of broken wire rope based on compressed sensing
topic wire rope
remanence inspection
compressed sensing
wavelet filter
quantitative recognition
url http://www.mdpi.com/1424-8220/16/9/1366
work_keys_str_mv AT juweizhang quantitativeinspectionofremanenceofbrokenwireropebasedoncompressedsensing
AT xiaojiangtan quantitativeinspectionofremanenceofbrokenwireropebasedoncompressedsensing