{"title":"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","authors":"Hongli Wang, Juwei Zhang, Jilin Wei","doi":"10.1134/S1061830924601971","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nondestructive Detection of Wire Rope Damage Using Leakage Magnetic Technique based on Dual-Layer Sensors\",\"authors\":\"Hongli Wang, Juwei Zhang, Jilin Wei\",\"doi\":\"10.1134/S1061830924601971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":764,\"journal\":{\"name\":\"Russian Journal of Nondestructive Testing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Russian Journal of Nondestructive Testing\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://link.springer.com/article/10.1134/S1061830924601971\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATERIALS SCIENCE, CHARACTERIZATION & TESTING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal of Nondestructive Testing","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1134/S1061830924601971","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
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.
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).