基于模糊逻辑的电力设备红外成像自动诊断

[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems Pub Date : 1993-04-19 DOI:10.1109/ANN.1993.264292

A. So, W. Chan, C. Tse, K.K. Lee

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引用次数: 14

摘要

本文介绍了一种用于电力工业的热成像应用系统。红外成像仪的工作温度范围为40℃~ 950℃，最大分辨率为0.01℃。本文设计了一种新的图像匹配算法，通过自适应调整x-平移和y-平移、旋转、x-缩放和y-缩放5个参数，对同一目标的细微不同红外图像进行匹配。诊断由基于模糊逻辑的专家系统自动执行，该系统提取热像图中的主要特征，并建议适当的维护行动。

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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Fuzzy logic based automatic diagnosis of power apparatus by infrared imaging

This paper describes a thermographic application system for the electrical power industry. The infrared imager has a range from 40 degrees C to 950 degrees C and maximum resolution down to 0.01 degrees C. A new algorithm for image matching has been devised to match slightly different infrared images of the same object by adaptively adjusting the five parameters, namely x- and y- translation, rotation, x- and y- scaling respectively. The diagnosis is automatically executed by a fuzzy logic-based expert system which extracts the major features within the thermograms and recommends appropriate actions for maintenance.<>

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[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems

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