| 引用本文: | 郭 戈，乔俊飞，王 伟，柴天佑.基于模糊神经网络的一种漏钢预报方法*[J].控制理论与应用,1998,15(4):593~598.[点击复制] |
| GUO Ge， QIAO Junfei， WANG Wei and CHAI Tianyou.Steel Leakage Alarm Method Based on Fuzzy Neural Network[J].Control Theory and Technology,1998,15(4):593~598.[点击复制] |
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| 基于模糊神经网络的一种漏钢预报方法* |
| Steel Leakage Alarm Method Based on Fuzzy Neural Network |
| 摘要点击 702 全文点击 389 投稿时间：1996-12-27 修订日期：1997-09-10 |
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| DOI编号 |
| 1998,15(4):593-598 |
| 中文关键词 连铸 漏钢预报 模糊神经网络 模式识别 |
| 英文关键词 continuous casting leakage alarm fuzzy neural network pattern recognition |
| 基金项目 |
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| 中文摘要 |
| 现有拉漏预报方法经常会发生误报，本文尝试了一种基于神经网络的漏钢预报方法，它果用神经网络进行模糊模式识别和预测拉漏事故. 实验表明该方法能比原有方法更快速准确地检测出铸坯粘结和裂缝等缺陷，可有效预防连铸中的漏钢事故. |
| 英文摘要 |
| False alarms are often found in the mould monitoring system of continuous casting process， thus a steel leakage alarm method is suggested in this paper. Fuzzy neural networks are used to perform. tem-perature pattern recognition and leakage alarm. Experiments show that it can detect sticking or splfis of slat more quickly and is very effective in avoiding leakage of molten steel. |