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.

这项研究是为了在国际联合研究计划中开发高敏感的检测和诊断系统。我们已经开发了各种传感器，并在涡流非破坏性测试（ECT）中检测方法，以实现新目标。结果，与常规的敏感性和表征能力相比，在这项研究中开发的高级ECT系统中的缺陷敏感性和表征能力得到了相当大的改善。此外，通过这种测量方法，即将到来的数值方法，我们还为我开发了裂纹位置，形状和深度的估计方法。在本报告中列出的每篇论文中显示了详细的结果。在这里，我们将向您展示这项共同研究中获得的典型改进和发明的内容。（1）用于导电板和管的磁性传感器： - - 磁通磁通量型传感器以及使用参考板的那些差异型探针， - 使用参考磁力磁通型传感器，使用磁化通量传感器，使用磁性磁盘型磁性磁盘型和差异类型的磁性型号，以及这些差异类型的（2）。 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神经网络。（4）旋转Barkhausen信号，包括缺陷信息： - 在旋转Barkhausen信号中发现混乱现象。