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Information Entropy of Angular Spectrum for Quantitatively Evaluating Eddy Current Distribution Varying in Time Domain
Chen, Guolong; Wang, Kang; Cao, Zheng; Jin, Wuyin
刊名Journal of Shanghai Jiaotong University (Science)
2022
关键词Angular distribution Eddy current testing Time domain analysis A Angular spectrum Eddy current distribution Eddy current probes Eddy current sensors Eddy-current testing Information entropy Non destructive testing Rotational field eddy current probe TH 878
ISSN号1007-1172
DOI10.1007/s12204-022-2475-9
英文摘要Eddy current (EC) distribution induced by EC sensors determines the interaction between the defect in the testing specimen and the EC, so quantitatively evaluating EC distribution is crucial to the design of EC sensors. In this study, two indices based on the information entropy are proposed to evaluate the EC energy allocated in different directions. The EC vectors induced by a rotational field EC sensor varying in the time domain are evaluated by the proposed methods. Then, the evaluating results are analyzed by the principle of EC testing. It can be concluded that the two indices can effectively quantitatively evaluate the EC distributions varying in the time domain and are used to optimize the parameters of the rotational EC sensors. © 2022, Shanghai Jiao Tong University.
语种英语
出版者Shanghai Jiaotong University
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/159380]  
专题机电工程学院
电气工程与信息工程学院
作者单位School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式
GB/T 7714
Chen, Guolong,Wang, Kang,Cao, Zheng,et al. Information Entropy of Angular Spectrum for Quantitatively Evaluating Eddy Current Distribution Varying in Time Domain[J]. Journal of Shanghai Jiaotong University (Science),2022.
APA Chen, Guolong,Wang, Kang,Cao, Zheng,&Jin, Wuyin.(2022).Information Entropy of Angular Spectrum for Quantitatively Evaluating Eddy Current Distribution Varying in Time Domain.Journal of Shanghai Jiaotong University (Science).
MLA Chen, Guolong,et al."Information Entropy of Angular Spectrum for Quantitatively Evaluating Eddy Current Distribution Varying in Time Domain".Journal of Shanghai Jiaotong University (Science) (2022).
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