Quantitative Identification of Internal and External Wire Rope Damage Based on VMD-AWT Noise Reduction and PSO-SVM.

Jie Tian, Pengbo Li, Wei Wang, Jianwu Ma, Ganggang Sun, Hongyao Wang

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Jie TianSchool of Mechanical, Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Pengbo LiSchool of Mechanical, Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.ORCID 0000-0003-2025-5951

Wei WangSchool of Mechanical, Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.ORCID 0000-0001-5740-3423

Jianwu MaSchool of Mechanical, Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Ganggang SunSchool of Mechanical, Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Hongyao WangSchool of Mechanical, Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.ORCID 0000-0002-6407-5103

Funding

Fundamental Research Funds for the Central Universities 2021YQJD02, 2022JCCXJD02 and 2022YJSJD09Open Research Fund of Key Laboratory of Nondestructive Testing (Nanchang Hangkong Univer-sity)，Ministry of Education EW202180222the National Natural Science Foundation of China 51774293

6 · The paper itself

Abstract

As a common load-bearing component, mining wire rope produces different types of damage during a long period of operation, especially in the case of damage inside the wire rope, which cannot be identified by the naked eye, and it is difficult to accurately detect such damage using the present technology. In this study we designed a non-destructive testing device based on leakage magnetism, which can effectively detect the internal defects of wire rope damage, and carried out simulation analysis to lay a theoretical foundation for the subsequent experiments. To address the noise reduction problem in the design process, a variational mode decomposition-adaptive wavelet thresholding noise reduction method is proposed, which can improve the signal-to-noise ratio and also calculate the wavelet energy entropy in the reconstructed signal to construct multi-dimensional feature vectors. For the quantitative identification of system damage, a particle swarm optimization-

Indexed as

internal wire rope damagenon-destructive wire rope testing devicePSO-SVM algorithmVMD-AWT noise reduction algorithmwavelet energy entropy

Identifiers

PMID35885203

DOI10.3390/e24070981

PMCPMC9317318

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