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      Research on the Method of Predicting Corrosion width of Cables Based on the Spontaneous Magnetic Flux Leakage

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          Abstract

          The detection of cable corrosion is of great significance to the evaluation of cable safety performance. Based on the principle of spontaneous magnetic flux leakage (SMFL), a new method for predicting the corrosion width of cables is proposed. In this paper, in order to quantify the width of corrosion, the parameter about intersecting point distance between curves of magnetic flux component of x direction at different lift off heights ( D x) is proposed by establishing the theoretical model of the magnetic dipole of the rectangular corrosion defect. The MATLAB software was used to analyze the influencing factors of D x. The results indicate that there exists an obvious linear relationship between the D x and the y (lift off height), and the D xy curves converge to near the true corrosion width when y = 0. The 1/4 and 3/4 quantiles of the D xy image were used for linear fitting, which the intercept of the fitting equation was used to represent the predicted corrosion width. After the experimental study on the corrosion width detection for the parallel steel wire and steel strand, it is found that this method can effectively improve the detection accuracy, which plays an important role in cable safety assessment.

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          Most cited references25

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          An efficient image-based damage detection for cable surface in cable-stayed bridges

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            Damage assessment of corrosion in prestressed concrete by acoustic emission

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              Magnetic Flux Leakage Sensing and Artificial Neural Network Pattern Recognition-Based Automated Damage Detection and Quantification for Wire Rope Non-Destructive Evaluation

              In this study, a magnetic flux leakage (MFL) method, known to be a suitable non-destructive evaluation (NDE) method for continuum ferromagnetic structures, was used to detect local damage when inspecting steel wire ropes. To demonstrate the proposed damage detection method through experiments, a multi-channel MFL sensor head was fabricated using a Hall sensor array and magnetic yokes to adapt to the wire rope. To prepare the damaged wire-rope specimens, several different amounts of artificial damages were inflicted on wire ropes. The MFL sensor head was used to scan the damaged specimens to measure the magnetic flux signals. After obtaining the signals, a series of signal processing steps, including the enveloping process based on the Hilbert transform (HT), was performed to better recognize the MFL signals by reducing the unexpected noise. The enveloped signals were then analyzed for objective damage detection by comparing them with a threshold that was established based on the generalized extreme value (GEV) distribution. The detected MFL signals that exceed the threshold were analyzed quantitatively by extracting the magnetic features from the MFL signals. To improve the quantitative analysis, damage indexes based on the relationship between the enveloped MFL signal and the threshold value were also utilized, along with a general damage index for the MFL method. The detected MFL signals for each damage type were quantified by using the proposed damage indexes and the general damage indexes for the MFL method. Finally, an artificial neural network (ANN) based multi-stage pattern recognition method using extracted multi-scale damage indexes was implemented to automatically estimate the severity of the damage. To analyze the reliability of the MFL-based automated wire rope NDE method, the accuracy and reliability were evaluated by comparing the repeatedly estimated damage size and the actual damage size.
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                Author and article information

                Journal
                Materials (Basel)
                Materials (Basel)
                materials
                Materials
                MDPI
                1996-1944
                04 July 2019
                July 2019
                : 12
                : 13
                : 2154
                Affiliations
                [1 ]College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China
                [2 ]College of Materials Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China
                [3 ]Chongqing Yapai Bridge Engineering Quality Inspection Co., Ltd., Chongqing 401120, China
                Author notes
                [* ]Correspondence: hongzhang@ 123456cqjtu.edu.cn ; Tel.: +86-23-6265-2850
                Author information
                https://orcid.org/0000-0002-1130-3600
                Article
                materials-12-02154
                10.3390/ma12132154
                6650906
                31277467
                00348736-cc9b-4971-86f6-1bf97384c800
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 23 May 2019
                : 02 July 2019
                Categories
                Article

                spontaneous magnetic flux leakage,corrosion width,cable corrosion detection,dx–y curves

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