摘要
基于核电站对安全运行的要求,在当前流行的数据挖掘方法指导下,采用模拟机各种运行工况的仿真数据作为输入,利用机器算法训练得到一套模型,可用于对核电站在线运行数据的分类,从而预测核电厂事故工况,降低核电站发生事故的概率。
Based on the requirements of nuclear power plants for safe operation,under the guidance of current popular data mining methods,the simulation data of various operating conditions of the simulator are used as input,and a set of models can be obtained by using machine algorithm training,which can be used to classify the online operation data of nuclear power plants.In order to predict the accident conditions of nuclear power plants and reduce the probability of accidents at nuclear power plants.
出处
《工业控制计算机》
2019年第3期42-44,共3页
Industrial Control Computer
基金
国家科技重大专项经费资助项目(大型先进压水堆及高温气冷堆核电站--数字化仪控系统虚拟仿真平台研发项目)(2017ZX06002010-003)
关键词
大数据
数据挖掘
机器学习
仿真
模拟机
big data
data mining
machine learning
simulation
simulator
