A neural network based quality control system for steel strip manufacturing

S Dominguez , P Campoy , R Aracil
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引用次数: 5

Abstract

A real time quality control system for flat products, applied to steel strip manufacturing, is introduced. The system is able to perform this task when the product runs at its maximum speed (15 m/s). The outlines of the overall system are explained, paying special attention to the neural classifier. A new model of neural network has been developed in order to implement this subsystem. Some benchmark results are resembled in order to ease the understanding of the model.

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基于神经网络的钢带生产质量控制系统
介绍了一种用于带钢生产的平板产品实时质量控制系统。当产品以最高速度(15米/秒)运行时,系统能够执行此任务。说明了整个系统的轮廓,特别注意神经分类器。为了实现该子系统,提出了一种新的神经网络模型。为了简化对模型的理解,一些基准测试结果是相似的。
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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