Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes

In this paper, we present a nondestructive testing device for wire rope by unsaturated magnetic excitation as an alternative to existing magnetic flux leakage (MFL) detection devices. The existing devices are heavy and inconvenient and offer somewhat lower accuracy and low signal-to-noise ratios (SN...

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Main Authors: Pengbo Zheng, Juwei Zhang
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2019/9828536
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author Pengbo Zheng
Juwei Zhang
author_facet Pengbo Zheng
Juwei Zhang
author_sort Pengbo Zheng
collection DOAJ
description In this paper, we present a nondestructive testing device for wire rope by unsaturated magnetic excitation as an alternative to existing magnetic flux leakage (MFL) detection devices. The existing devices are heavy and inconvenient and offer somewhat lower accuracy and low signal-to-noise ratios (SNRs). Our design implements variational mode decomposition (VMD) and a wavelet transformation to remove noise from the raw MFL signals. Grayscale images representing the denoised MFL data simplify visual interpretation of the results and location of defects in both axial and circumferential directions. Quantification of defects is enabled using a k-nearest neighbor (KNN) algorithm to classify broken wires. Experimental results show that our design offers lighter weight, better convenience, and high sensitivity along with better removal of noise and more accurate classification of defects.
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institution Kabale University
issn 1070-9622
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language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-a51c766cc2a842439ee993e48d4a172c2025-02-03T01:10:38ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/98285369828536Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire RopesPengbo Zheng0Juwei Zhang1College of Electrical Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaCollege of Electrical Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaIn this paper, we present a nondestructive testing device for wire rope by unsaturated magnetic excitation as an alternative to existing magnetic flux leakage (MFL) detection devices. The existing devices are heavy and inconvenient and offer somewhat lower accuracy and low signal-to-noise ratios (SNRs). Our design implements variational mode decomposition (VMD) and a wavelet transformation to remove noise from the raw MFL signals. Grayscale images representing the denoised MFL data simplify visual interpretation of the results and location of defects in both axial and circumferential directions. Quantification of defects is enabled using a k-nearest neighbor (KNN) algorithm to classify broken wires. Experimental results show that our design offers lighter weight, better convenience, and high sensitivity along with better removal of noise and more accurate classification of defects.http://dx.doi.org/10.1155/2019/9828536
spellingShingle Pengbo Zheng
Juwei Zhang
Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes
Shock and Vibration
title Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes
title_full Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes
title_fullStr Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes
title_full_unstemmed Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes
title_short Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes
title_sort application of variational mode decomposition and k nearest neighbor algorithm in the quantitative nondestructive testing of wire ropes
url http://dx.doi.org/10.1155/2019/9828536
work_keys_str_mv AT pengbozheng applicationofvariationalmodedecompositionandknearestneighboralgorithminthequantitativenondestructivetestingofwireropes
AT juweizhang applicationofvariationalmodedecompositionandknearestneighboralgorithminthequantitativenondestructivetestingofwireropes