Thermal data correction algorithm for electrical components using infrared camera

2005 IEEE Conference on Emerging Technologies and Factory Automation Pub Date : 2005-09-19 DOI:10.1109/ETFA.2005.1612647

Seong-Ho Song

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Abstract

In this paper, we consider the temperature variations of electric components working in the board. By observing the temperature variations of electric components, we can decide whether the components on the board work well or not. The temperature of the object surface can be measured by infrared cameras. However, the environmental air temperature can have an influence on the temperature of the object surface. In this paper, the data correction algorithm is suggested when the environmental air temperature varies. To correct the infrared data in this paper, the initial temperature or the initial infrared image data is used so that the target source system may not be necessary. The temperature data obtained from infrared detector show nonlinear property depending on the surface temperature. In order to handle this nonlinear property, Taylor series approach is adopted. It is shown that the proposed algorithm can reduce the influence of environmental temperature on the components in the board. The main advantage of this algorithm is only to use the initial temperature of the components on the board rather than using thermal electric coolers as reference temperature

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基于红外摄像机的电气元件热数据校正算法

在本文中，我们考虑了在电路板中工作的电气元件的温度变化。通过观察电气元件的温度变化，我们可以判断电路板上的元件是否工作良好。物体表面的温度可以用红外摄像机测量。然而，环境空气温度会对物体表面的温度产生影响。本文提出了环境气温变化时的数据校正算法。为了对本文的红外数据进行校正，采用了初始温度或初始红外图像数据，从而可能不需要目标源系统。红外探测器测得的温度数据随表面温度的变化呈现非线性特性。为了处理这种非线性性质，采用了泰勒级数法。实验结果表明，该算法可以降低环境温度对电路板内元器件的影响。该算法的主要优点是仅使用电路板上元件的初始温度，而不是使用热电冷却器作为参考温度

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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来源期刊

2005 IEEE Conference on Emerging Technologies and Factory Automation

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