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Open AccessArticle

Non-Destructive Detection of Wire Rope Discontinuities from Residual Magnetic Field Images Using the Hilbert-Huang Transform and Compressed Sensing

by Juwei Zhang 1,2,*, Xiaojiang Tan 1,2,* and Pengbo Zheng 1,2
1
College of Electrical Engineering, Henan University of Science and Technology, Luoyang 471023, China
2
Power Electronics Device and System Engineering Laboratory of Henan, Henan University of Science and Technology, Luoyang 471023, China
*
Authors to whom correspondence should be addressed.
Sensors 2017, 17(3), 608; https://doi.org/10.3390/s17030608
Received: 2 January 2017 / Revised: 14 March 2017 / Accepted: 15 March 2017 / Published: 16 March 2017
(This article belongs to the Section Physical Sensors)
Electromagnetic methods are commonly employed to detect wire rope discontinuities. However, determining the residual strength of wire rope based on the quantitative recognition of discontinuities remains problematic. We have designed a prototype device based on the residual magnetic field (RMF) of ferromagnetic materials, which overcomes the disadvantages associated with in-service inspections, such as large volume, inconvenient operation, low precision, and poor portability by providing a relatively small and lightweight device with improved detection precision. A novel filtering system consisting of the Hilbert-Huang transform and compressed sensing wavelet filtering is presented. Digital image processing was applied to achieve the localization and segmentation of defect RMF images. The statistical texture and invariant moment characteristics of the defect images were extracted as the input of a radial basis function neural network. Experimental results show that the RMF device can detect defects in various types of wire rope and prolong the service life of test equipment by reducing the friction between the detection device and the wire rope by accommodating a high lift-off distance. View Full-Text
Keywords: wire rope; residual magnetic field; Hilbert-Huang transform; compressed sensing; quantitative recognition wire rope; residual magnetic field; Hilbert-Huang transform; compressed sensing; quantitative recognition
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Zhang, J.; Tan, X.; Zheng, P. Non-Destructive Detection of Wire Rope Discontinuities from Residual Magnetic Field Images Using the Hilbert-Huang Transform and Compressed Sensing. Sensors 2017, 17, 608.

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