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基于线到连续方法和特征选择的弧焊过程缺陷检测。

Defect Detection in Arc-Welding Processes by Means of the Line-to-Continuum Method and Feature Selection.

机构信息

Photonics Engineering Group, University of Cantabria, Avda. de los Castros S/N, 39005 Santander, Spain; E-Mails:

出版信息

Sensors (Basel). 2009;9(10):7753-70. doi: 10.3390/s91007753. Epub 2009 Sep 29.

Abstract

Plasma optical spectroscopy is widely employed in on-line welding diagnostics. The determination of the plasma electron temperature, which is typically selected as the output monitoring parameter, implies the identification of the atomic emission lines. As a consequence, additional processing stages are required with a direct impact on the real time performance of the technique. The line-to-continuum method is a feasible alternative spectroscopic approach and it is particularly interesting in terms of its computational efficiency. However, the monitoring signal highly depends on the chosen emission line. In this paper, a feature selection methodology is proposed to solve the uncertainty regarding the selection of the optimum spectral band, which allows the employment of the line-to-continuum method for on-line welding diagnostics. Field test results have been conducted to demonstrate the feasibility of the solution.

摘要

等离子体光谱广泛应用于在线焊接诊断。等离子体电子温度的测定通常被选为输出监测参数,这需要识别原子发射线。因此,需要额外的处理阶段,这直接影响到该技术的实时性能。谱线到连续谱的方法是一种可行的替代光谱方法,在计算效率方面特别有趣。然而,监测信号高度依赖于所选的发射线。在本文中,提出了一种特征选择方法,以解决最佳光谱带选择的不确定性问题,从而允许将谱线到连续谱的方法应用于在线焊接诊断。现场测试结果证明了该解决方案的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e1f/3292081/67073d2f03c9/sensors-09-07753f1.jpg

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