LIBS chemical image analysis for fatigue estimation in industrial materials

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI:10.1109/ISPA.2003.1296920

A. Mora, J. Fonseca, J. Martins, A. Steiger-Garção

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引用次数: 1

Abstract

The extreme conditions industrial materials are usually exposed induce metallurgical modifications which can lead to a premature fatigue causing cracks. In this paper, we present a set of methodologies for the automation of an in-situ fatigue estimation system. The modifications considered are detectable at the material's surface through a spatial chemical analysis process that in this system is performed by laser spectroscopy (LIBS). For the chemical analysis automation a set of signal processing techniques for the LIBS spectrum analysis is presented. The result of the chemical analysis in different points is displayed on a set of images. The estimation process is based on the application of digital image processing techniques and artificial intelligence techniques on the obtained image. This system was developed in the framework of the EC project - LIBSGrain which designed, built and tested the equipment on a chemical plant. The results obtained with the system are also presented in this paper.

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用于工业材料疲劳估计的LIBS化学图像分析

工业材料通常暴露在极端条件下，会引起冶金变质，从而导致过早疲劳而产生裂纹。在本文中，我们提出了一套用于现场疲劳评估系统自动化的方法。在该系统中，通过激光光谱(LIBS)进行空间化学分析过程，可以在材料表面检测到所考虑的修饰。为实现化学分析自动化，提出了一套LIBS光谱分析的信号处理技术。不同点的化学分析结果显示在一组图像上。估计过程是基于数字图像处理技术和人工智能技术对所获得的图像的应用。该系统是在EC项目- LIBSGrain的框架下开发的，该项目设计，建造和测试了化工厂的设备。文中还介绍了利用该系统所得到的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the

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