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作 者:赵明 刘东林 蒋建军[2] 胡鸿[2] 青涛[2] 代俭英[2] 席钌姿 ZHAO Ming;LIU Donglin;JIANG Jianjun;HU Hong;QING Tao;DAI Jianying;XI Liaozi(CNNC Nuclear Power Operation Management Co.Ltd.,Haiyan of Zhejiang Prov.314300,China;School of Safety and Management Engineering,Hunan Institute of Technology,Hengyang of Hunan Prov.421002,China)
机构地区:[1]中核核电运行管理有限公司,浙江海盐314300 [2]湖南工学院安全与管理工程学院,湖南衡阳421002
出 处:《核科学与工程》2024年第5期1060-1072,共13页Nuclear Science and Engineering
基 金:湖南省自然科学基金项目(No.2019JJ40066);湖南省教育厅科学研究重点项目(No.21A0566);湖南工学院省级科技创新平台开放课题(No.KFKB2208);湖南工学院科研启动基金项目(No.HQ19009)。
摘 要:数字化核电厂界面管理任务影响第一类任务的性能,可能引发新的人因问题,针对这一状况,本文基于数字化核电厂界面管理任务,对监视、状态评估、执行3个认知过程分别建立了影响因子,基于反向传播(BP)神经网络构建了认知可靠性评估模型,为人因可靠性分析提供指导。分别选择了3个不同认知阶段的训练样本和测试样本,以线性加权法计算获得的结果作为神经网络训练过程的期望输出,分别获得了3个认知过程可靠性神经网络评价模型,训练结果表明,3个认知阶段的训练误差能达到预期目标,测试误差与目标误差基本一样,均达到可接受的范围,该模型能应用于数字化核电厂界面管理任务人因可靠性评价。The interface management task of digital nuclear power plant affects the performance of the first task,then new problems about human factors can come into being.Aim at the situation,the influencing factors and cognitive reliability model based on the BP neural network are proposed in this paper for three cognitive phases including monitoring,situation evaluation,executing based on the interface management task of digital nuclear power plant,it provides guidance for human reliability analysis.The training and testing samples from three different cognitive stages were selected respectively,and the results obtained by using the linear weighting method were used as the expected output of the neural network training process.The reliability neural network evaluation models of three cognitive processes were obtained.The training results show that the training errors of three cognitive stages could achieve the expected goals,and the testing errors are almost consistent with target errors,the errors are in an acceptable range.The model can be applied to human reliability evaluation of digital nuclear power plant interface management tasks.
分 类 号:TL48[核科学技术—核技术及应用]
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