Yu Miao, Liu Xianglong, Ze Liu, Yue Yuanli, Wu Jianli, Jiwei Huo, Yong Li
{"title":"用于高速铁路车轮缺陷检测的电磁层析成像系统","authors":"Yu Miao, Liu Xianglong, Ze Liu, Yue Yuanli, Wu Jianli, Jiwei Huo, Yong Li","doi":"10.15918/J.JBIT1004-0579.20047","DOIUrl":null,"url":null,"abstract":"A novel electromagnetic tomography(EMT) system for defect detection of high-speed rail wheel is proposed, which differs from traditional electromagnetic tomography systems in its spatial arrangements of coils. A U-shaped sensor array was designed, and then a simulation model was built with the low frequency electromagnetic simulation software. Three different algorithms were applied to perform image reconstruction, therefore the defects can be detected from the reconstructed images. Based on the simulation results, an experimental system was built and image reconstruction were performed with the measured data. The reconstructed images obtained both from numerical simulation and experimental system indicated the locations of the defects of the wheel, which verified the feasibility of the EMT system and revealed its good application prospect in the future.","PeriodicalId":39252,"journal":{"name":"Journal of Beijing Institute of Technology (English Edition)","volume":"29 1","pages":"474-483"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Electromagnetic Tomography System for Defect Detection of High-Speed Rail Wheel\",\"authors\":\"Yu Miao, Liu Xianglong, Ze Liu, Yue Yuanli, Wu Jianli, Jiwei Huo, Yong Li\",\"doi\":\"10.15918/J.JBIT1004-0579.20047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel electromagnetic tomography(EMT) system for defect detection of high-speed rail wheel is proposed, which differs from traditional electromagnetic tomography systems in its spatial arrangements of coils. A U-shaped sensor array was designed, and then a simulation model was built with the low frequency electromagnetic simulation software. Three different algorithms were applied to perform image reconstruction, therefore the defects can be detected from the reconstructed images. Based on the simulation results, an experimental system was built and image reconstruction were performed with the measured data. The reconstructed images obtained both from numerical simulation and experimental system indicated the locations of the defects of the wheel, which verified the feasibility of the EMT system and revealed its good application prospect in the future.\",\"PeriodicalId\":39252,\"journal\":{\"name\":\"Journal of Beijing Institute of Technology (English Edition)\",\"volume\":\"29 1\",\"pages\":\"474-483\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Beijing Institute of Technology (English Edition)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15918/J.JBIT1004-0579.20047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Beijing Institute of Technology (English Edition)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15918/J.JBIT1004-0579.20047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Electromagnetic Tomography System for Defect Detection of High-Speed Rail Wheel
A novel electromagnetic tomography(EMT) system for defect detection of high-speed rail wheel is proposed, which differs from traditional electromagnetic tomography systems in its spatial arrangements of coils. A U-shaped sensor array was designed, and then a simulation model was built with the low frequency electromagnetic simulation software. Three different algorithms were applied to perform image reconstruction, therefore the defects can be detected from the reconstructed images. Based on the simulation results, an experimental system was built and image reconstruction were performed with the measured data. The reconstructed images obtained both from numerical simulation and experimental system indicated the locations of the defects of the wheel, which verified the feasibility of the EMT system and revealed its good application prospect in the future.