Recognition of Broken Wire Rope Based on Remanence using EEMD and Wavelet Methods Article Swipe

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Juwei Zhang , Pengbo Zheng , Xiaojiang Tan ·

YOU? · · 2018 · Open Access · · DOI: https://doi.org/10.3390/s18041110

The magnetic flux leakage method is widely used for non-destructive testing in wire rope applications. A non-destructive testing device for wire rope based on remanence was designed to solve the problems of large volume, low accuracy, and complex operations seen in traditional devices. A wavelet denoising method based on ensemble empirical mode decomposition was proposed to reduce the system noise in broken wire rope testing. After extracting the defects image, the wavelet super-resolution reconstruction technique was adopted to improve the resolution of defect grayscale. A back propagation neural network was designed to classify defects by the feature vectors of area, rectangle, stretch length, and seven invariant moments. The experimental results show that the device was not only highly precise and sensitive, but also easy to operate; noise is effectively suppressed by the proposed filtering algorithm, and broken wires are classified by the network.

Related Topics

Wire Rope

Rectangle

Computer Science

Artificial Intelligence

Nondestructive Testing

Structural Engineering

Concepts

Wire rope Wavelet Rectangle Rope Hilbert–Huang transform Noise reduction Computer science Artificial intelligence Noise (video) Nondestructive testing Wavelet transform Grayscale Pattern recognition (psychology) Computer vision Engineering Acoustics Algorithm Image (mathematics) Structural engineering Mathematics Physics Filter (signal processing) Geometry Quantum mechanics

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/s18041110
PDF: https://www.mdpi.com/1424-8220/18/4/1110/pdf?version=1525347259
OA Status: gold
Cited By: 33
References: 31
Related Works: 10
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DOI: https://doi.org/10.3390/s18041110

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Title: Recognition of Broken Wire Rope Based on Remanence using EEMD and Wavelet Methods

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Type: article

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Language: en

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Publication year: 2018

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Publication date: 2018-04-05

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Authors: Juwei Zhang, Pengbo Zheng, Xiaojiang Tan

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Landing page: https://doi.org/10.3390/s18041110

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Concepts: Wire rope, Wavelet, Rectangle, Rope, Hilbert–Huang transform, Noise reduction, Computer science, Artificial intelligence, Noise (video), Nondestructive testing, Wavelet transform, Grayscale, Pattern recognition (psychology), Computer vision, Engineering, Acoustics, Algorithm, Image (mathematics), Structural engineering, Mathematics, Physics, Filter (signal processing), Geometry, Quantum mechanics

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Cited by: 33

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Citations by year (recent): 2025: 3, 2024: 3, 2023: 5, 2022: 8, 2021: 1

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