基于模糊知识的钢带红外轮廓模式识别

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI:10.1109/CIMSA.2006.250759

R. Usamentiaga, D. García, D. González, J. Molleda

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引用次数: 0

摘要

最近对超薄高质量钢材产品的需求使得温度控制越来越成为最终质量的决定性因素。事实上，薄钢生产过程中温度的不均匀使钢的断裂率急剧增加。这项工作提出了一种方法来识别一个常见的不均匀的温度模式被称为热肩模式。本文提出的识别方法分三步进行。首先，对钢带红外图像进行处理，计算出红外轮廓;接下来，对每个轮廓进行处理，以确定其形状。最后，采用模糊方法确定各剖面对热肩温度模式的隶属度

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Pattern recognition for infrared profiles of steel strips based on fuzzy knowledge

The recent demand for extremely thin high-quality steel products makes temperature control an increasingly determining factor in the final quality. In fact, uneven temperature during thin steel production makes the steel fracture rate increase sharply. This work proposes a method to recognize a common uneven temperature pattern known as the hot-shoulders pattern. The proposed recognition method is carried out in three steps. Firstly, the infrared image obtained from the steel strip is processed in order to calculate the infrared profiles. Next, each of these profiles is processed in order to determine its shape. Finally, a fuzzy approach is used to determine the membership degree of each profile to the hot-shoulders temperature pattern

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2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications

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