Nondestructive Detection of Wire Rope Damage Using Leakage Magnetic Technique based on Dual-Layer Sensors

This paper designs a device that uses the difference signal of a double-layer sensor to detect steel wire rope damage, which to a certain extent suppresses the impact of the change in lifting distance on defect detection during the signal collection process. First, a simulation model was established to conduct simulation experiments, which verified the feasibility and effectiveness of the method. Secondly, a filtering algorithm using a combination of successive variational mode decomposition (SVMD) and wavelet noise reduction was proposed to analyze the collected wire rope damage signals deal with. The processed one-dimensional magnetic flux leakage signals are converted into leakage magnetic image signals, which are then used as inputs to a classification network. Finally, the improved ResNet network was used to classify and identify the damage signal. The classification accuracy of the signal collected by the single-layer sensor was 90.90%, and the classification accuracy of the signal collected by the double-layer sensor was 94.05%. The device designed in this study demonstrates a 3.15% improvement in defect classification accuracy, confirming the feasibility and superiority of using difference signals for defect detection.