机械设计与制造2024,Vol.404Issue(10) :221-225.

主蒸汽隔离阀驱动装置快关时间预测模型研究

Research on Quick-Closing Time Prediction Model of the Driving Device of the Main Steam Isolation Valve

周媛 陈剑锋 钟华
机械设计与制造2024,Vol.404Issue(10) :221-225.

主蒸汽隔离阀驱动装置快关时间预测模型研究

Research on Quick-Closing Time Prediction Model of the Driving Device of the Main Steam Isolation Valve

周媛 1陈剑锋 1钟华1
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作者信息

  • 1. 上海核工程研究设计院有限公司,上海 200233
  • 折叠

摘要

主蒸汽隔离阀是保障核电站安全运行的关键设备,其快关时间是用于衡量主蒸汽隔离阀驱动装置最重要的动作性能指标之一.为了实现对主蒸汽隔离阀快关时间的快捷计算,在驱动装置系统仿真的基础上引入回归分析技术,提出了 一种快关时间预测模型研究方法,为国产化研发提供参考.基于主蒸汽隔离阀驱动装置的系统仿真结果建立了单/双通道快关时间的预测模型,并采用测试数据对预测模型的可靠性和准确性进行了验证,结果表明提出的预测模型可以实现单/双通道快关时间的准确预测,其中,单通道快关时间预测误差不大于5.86%,平均预测误差为2.82%;双通道快关时间预测误差不大于5.80%,平均预测误差为2.77%.

Abstract

The main steam isolation valve is the key equipment to ensure the safe operations of nuclear power plants,and its quick-clos-ing time is one of the most important performance indicators for measuring the driving device of the main steam isolation valve.In or-der to realize the fast estimation of the quick-closing time of the main steam isolation valve,the regression analysis technology is intro-duced based on the results of the system simulation of the driving device,and a prediction model of the quick-closing time is proposed,which provides reference for the domestic research and development.Based on the system simulation results of the main steam isolation valve drive device,the prediction model of single/double channel closing time is established,and the reliability and accuracy of the pre-diction model are verified by the test data.The results show that the proposed prediction model can accurately predict the single/double channel closing time,and the prediction error of single channel closing time is less than 5.86%,and the average prediction error is 2.82%.The prediction error of dual-channel closing time is not greater than 5.80%,and the average prediction error is 2.77%.

关键词

主蒸汽隔离阀/驱动装置/快关时间/预测模型/回归分析

Key words

Main Steam Isolation Valve/Driving Device/Quick-Closing Time/Prediction Model/Regression Analysis

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基金项目

国家科技重大专项资助项目(2019ZX06002015)

出版年

2024
机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
参考文献量9
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