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

IF 0.9 4区 材料科学 Q4 MATERIALS SCIENCE, CHARACTERIZATION & TESTING
Hongli Wang, Juwei Zhang, Jilin Wei
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引用次数: 0

Abstract

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.

Abstract Image

利用基于双层传感器的漏磁技术对钢丝绳损伤进行无损检测
本文设计了一种利用双层传感器差分信号检测钢丝绳损伤的装置,在一定程度上抑制了信号采集过程中提升距离变化对缺陷检测的影响。首先,建立了仿真模型,进行了仿真实验,验证了该方法的可行性和有效性。其次,提出了利用连续变异模态分解(SVMD)和小波降噪相结合的滤波算法,对采集到的钢丝绳损伤信号进行分析处理。处理后的一维漏磁通信号被转换成漏磁图像信号,然后作为分类网络的输入。最后,使用改进的 ResNet 网络对损伤信号进行分类和识别。单层传感器采集信号的分类准确率为 90.90%,双层传感器采集信号的分类准确率为 94.05%。本研究设计的装置在缺陷分类准确率方面提高了 3.15%,证实了使用差分信号进行缺陷检测的可行性和优越性。
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来源期刊
Russian Journal of Nondestructive Testing
Russian Journal of Nondestructive Testing 工程技术-材料科学:表征与测试
CiteScore
1.60
自引率
44.40%
发文量
59
审稿时长
6-12 weeks
期刊介绍: Russian Journal of Nondestructive Testing, a translation of Defectoskopiya, is a publication of the Russian Academy of Sciences. This publication offers current Russian research on the theory and technology of nondestructive testing of materials and components. It describes laboratory and industrial investigations of devices and instrumentation and provides reviews of new equipment developed for series manufacture. Articles cover all physical methods of nondestructive testing, including magnetic and electrical; ultrasonic; X-ray and Y-ray; capillary; liquid (color luminescence), and radio (for materials of low conductivity).
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