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Development of High-Sensitive Detection and Diagnosis System

高灵敏检测诊断系统开发

基本信息

批准号：
09044177
负责人：
ENOKIZONO Masato
金额：
$ 5.63万
依托单位：
Oita University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1997
资助国家：
日本
起止时间：
1997 至 1999
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09044177/
关键词：
Eddy current testing Non-destructive testing Differential type sensor Moving magnetic flux type sensor Rotational magnetic flux type sensor Matrix type sensor Rotational Barkhausen signal

项目摘要

This research has been carried out to develop a high-sensitive detection and diagnosis system in the international joint research program. We have developed various kinds of sensors and detecting methods in the eddy current non-destructive testing (ECT), in order to meet the new goals. As a result, flaw sensitivity and characterization ability in the advanced ECT system developed in this research, were considerably improved in comparison with the conventional ones. Furthermore, coming numerical approach with this measuring method, we have also developed me estimation methods of crack position, shape, and depth. The detailed results were shown in each paper listed in this report. Here we will show you the contents of typical improvements and inventions obtained in this joint research.(1) Magnetic Sensors for Conducting Plates and Tubes:-Rotational magnetic flux type sensors and those differential type probes using a reference plate,-Moving magnetic flux type sensor,-Moving magnetic flux type sensor using shading coil and its differential types,-Matrix type sensors and those differential types.(2) Excitation Methods:-Use of rotational magnetic field to obtain beneficial information in the magnetic flux vector,-Use of moving magnetic field as an inhomogeneous magnetic field,-Use of multi-frequency components to overcome the skin effect (MFES).(3) Numerical Approach (Inverse Problem to Estimate Defects):-Inverse analysis method by BEM with singular value decomposition-Inverse analysis method by BEM with Fuzzy Inference,-Crack identification method with feed-forward neural network.(4) Rotational Barkhausen Signal Including Information of Defects :-New discovery of chaos phenomena in the rotational Barkhausen signals.

本研究是在国际联合研究计划中开发高灵敏度检测和诊断系统而进行的。为了适应新的要求，人们开发了各种涡流无损检测传感器和检测方法。因此，在本研究中开发的先进的ECT系统的缺陷灵敏度和表征能力，大大提高了与传统的。此外，通过数值方法，我们还发展了裂纹位置、形状和深度的估计方法。详细结果见本报告所列的每篇论文。在这里，我们将向您展示在此次联合研究中获得的典型改进和发明的内容。(1)用于导电板和导电管的磁传感器：-旋转磁通量型传感器和使用参考板的差分型探头，-移动磁通量型传感器，-使用屏蔽线圈的移动磁通量型传感器及其差分型，-矩阵型传感器和差分型。(2)激励方法：-使用旋转磁场以获得磁通量矢量中的有益信息，-使用移动磁场作为非均匀磁场，-使用多频分量以克服趋肤效应（MFES）。(3)数值方法（估计缺陷的逆问题）：-通过奇异值分解的BEM的逆分析方法-通过模糊推理的BEM的逆分析方法，-通过前馈神经网络的裂纹识别方法。(4)包含缺陷信息的旋转巴克豪森信号--旋转巴克豪森信号中混沌现象的新发现。