Accurate 3D reconstruction of complex defects based on combined method of MFL and MFDs

The two-step strategy for 3D reconstruction of complex defects was updated by combining the magnetic field disturbance (MFD) with magnetic flux leakage (MFL) measurement methods. Firstly, the plane-scanned MFD imaging was employed to achieve high-accuracy reconstruction of the opening outlines of complex defects. Secondly, the finite element simulation model of the defect with the recognized opening outline was established as the forward model for depth profile inversion with the particle swarm optimization algorithm. The performances of the conventional MFL-based and updated strategies were carefully compared through finite element simulation. The results proved that the updated method combining MFD signals with MFL signals had the better performance in accurate 3D reconstruction of complex defects than the conventional MFL-based inversion strategy, displaying smaller errors in opening outline, peak depth and the profile. Experimental results confirmed that the updated strategy could accurately reconstruct the 3D shape of 8-shaped defect and rectangular defect with rounded corners.

[1]  Andrea Bergamini,et al.  Three-Dimensional Localization of Defects in Stay Cables Using Magnetic Flux Leakage Methods , 2003 .

[2]  Yihua Kang,et al.  A new NDT method based on permanent magnetic field perturbation , 2011 .

[3]  Z N Wu,et al.  A fast algorithm for 3D reconstruction of complex defect profiles for magnetic flux leakage inspection , 2018 .

[4]  Miguel Delgado Prieto,et al.  Fully Noncontact Hybrid NDT for 3D Defect Reconstruction Using SAFT Algorithm and 2D Apodization Window , 2019, Sensors.

[5]  M. Abidi,et al.  Detection and classification of edges in color images , 2005, IEEE Signal Processing Magazine.

[6]  J. Reilly,et al.  Sizing of 3-D Arbitrary Defects Using Magnetic Flux Leakage Measurements , 2010, IEEE Transactions on Magnetics.

[8]  Lalita Udpa,et al.  Neural network-based inversion algorithms in magnetic flux leakage nondestructive evaluation , 2003 .

[9]  Jongwoo Jun,et al.  Nondestructive evaluation of a crack on austenitic stainless steel using a sheet type induced current and a Hall sensor array , 2008 .

[10]  Lei Wang,et al.  Cable inspection robot for cable-stayed bridges: Design, analysis, and application , 2011, J. Field Robotics.

[11]  J.R. Hare,et al.  Characterization of Surface-Breaking Cracks Using One Tangential Component of Magnetic Leakage Field Measurements , 2008, IEEE Transactions on Magnetics.

[12]  Ge Yu,et al.  An Iterative Stacking Method for Pipeline Defect Inversion With Complex MFL Signals , 2020, IEEE Transactions on Instrumentation and Measurement.

[13]  Dazhong Ma,et al.  Injurious or Noninjurious Defect Identification From MFL Images in Pipeline Inspection Using Convolutional Neural Network , 2017, IEEE Transactions on Instrumentation and Measurement.

[15]  Wang Yujue,et al.  Design of Tunnel Magnetoresistive-Based Circular MFL Sensor Array for the Detection of Flaws in Steel Wire Rope , 2016 .

[16]  Wei Zhao,et al.  An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect , 2019, IEEE Transactions on Instrumentation and Measurement.

[17]  Z. Usarek,et al.  Inspection of Gas Pipelines Using Magnetic Flux Leakage Technology , 2017 .

[18]  Yong Wang,et al.  A novel TMR-based MFL sensor for steel wire rope inspection using the orthogonal test method , 2015 .

[19]  Lina Wang,et al.  A Novel Method for the Image Quality Improvement of Ultrasonic Tomography , 2021, IEEE Transactions on Instrumentation and Measurement.

[20]  T. Meydan,et al.  Pulsed magnetic flux leakage method for hairline crack detection and characterization , 2018 .

[21]  Jin Yi Lee,et al.  A Study of Leakage Magnetic Flux Detector Using Hall Sensors Array , 2006 .

[22]  Yan Shi,et al.  Theory and Application of Magnetic Flux Leakage Pipeline Detection , 2015, Sensors.

[23]  Bin Wu,et al.  A boundary detecting method for post-tensioned pre-stressed ducts based on Q-factor analysis , 2016 .

[24]  Bin Wu,et al.  A comparative study between magnetic field distortion and magnetic flux leakage techniques for surface defect shape reconstruction in steel plates , 2019, Sensors and Actuators A: Physical.

[25]  Satish Udpa,et al.  Advanced signal processing of magnetic flux leakage data obtained from seamless gas pipeline , 2002 .