基于角度谱信息熵的时域变化涡流分布定量评价

doi:10.1007/s12204-022-2475-9

J Shanghai Jiaotong Univ Sci ›› 2023, Vol. 28 ›› Issue (5): 587-595.doi: 10.1007/s12204-022-2475-9

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基于角度谱信息熵的时域变化涡流分布定量评价

陈国龙，王慷，曹政，靳伍银

（兰州理工大学机电工程学院，兰州730000）

接受日期:2021-09-03 出版日期:2023-09-28 发布日期:2023-10-20

Information Entropy of Angular Spectrum for Quantitatively Evaluating Eddy Current Distribution Varying in Time Domain

CHEN Guolong^*(陈国龙)，WANG Kang(王﹐慷),CAO Zheng (曹﹐政),JIN Wuyin(靳伍银)

(School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China)

Accepted:2021-09-03 Online:2023-09-28 Published:2023-10-20

摘要/Abstract

摘要： 涡流传感器感应的涡流分布决定了检测试样中缺陷与涡流之间的相互作用，因此定量评估涡流分布对于设计涡流传感器至关重要。本研究提出了两个基于信息熵的指标来评估不同方向上分配的涡流能量。通过所提出方法评估了时域变化旋转场涡流传感器感应的涡流向量。然后，通过涡流检测原理对评估结果进行了分析。结果表明，这两个指标可以有效地定量评估时域变化的涡流分布，并将用于旋转涡流传感器参数的优化。

关键词: 信息熵，涡流检测，无损检测，旋转场涡流传感器，角度谱

Abstract: 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.

Key words: information entropy, eddy current testing, non-destructive testing, rotational field eddy current probe, angular spectrum

中图分类号:

TH878

陈国龙，王慷，曹政，靳伍银. 基于角度谱信息熵的时域变化涡流分布定量评价[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(5): 587-595.

CHEN Guolong*(陈国龙)，WANG Kang(王﹐慷),CAO Zheng (曹﹐政),JIN Wuyin(靳伍银). Information Entropy of Angular Spectrum for Quantitatively Evaluating Eddy Current Distribution Varying in Time Domain[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(5): 587-595.

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基于角度谱信息熵的时域变化涡流分布定量评价

Information Entropy of Angular Spectrum for Quantitatively Evaluating Eddy Current Distribution Varying in Time Domain

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