| BP神经网络在AP1000核电站事故诊断应用中的初步研究 | |
| 赵云飞 ; 张立国 ; 童节娟 ; 张勤 ; 曲静原 ; ZHAO Yun-fei ; ZHANG Li-guo ; TONG Jie-juan ; ZHANG Qin ; QU Jing-yuan | |
| 2016-03-30 ; 2016-03-30 | |
| 关键词 | 核应急 BP神经网络 事故诊断 AP1000核电站 HPLWR neutronic/thermal-hydraulic coupling heat transfer correlation TM623.7 TP18 |
| 其他题名 | Preliminary Study on Application of BP Neural Network in AP1000 Nuclear Power Plant Accident Diagnosis |
| 中文摘要 | 核电站发生事故时,快速准确诊断出事故类型对于应急中采取相应的安全防护措施至关重要。本文采用BP神经网络对AP1000核电站的部分事故进行事故诊断,以部分事故分析结果为训练数据训练网络,以其他分析结果为测试数据,验证网络诊断事故类型时的准确性。结果表明,BP神经网络能正确诊断所分析的事故序列。; When the accident occurs in a nuclear power plant,the quick and accurate diagnosis of the accident scenario is of vital importance to take safety measures during emergency response.BP neural network was applied in diagnosis of part of the accident scenarios for AP1000 nuclear power plant.Part of the results of the accident analysis was used as the training data of the network,and the remaining was used as the test data of the trained network to verify its accuracy.The verification result shows that BP neural network is able to diagnose the analyzed accident scenarios with high accuracy. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/143958]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 赵云飞,张立国,童节娟,等. BP神经网络在AP1000核电站事故诊断应用中的初步研究[J],2016, 2016. |
| APA | 赵云飞.,张立国.,童节娟.,张勤.,曲静原.,...&QU Jing-yuan.(2016).BP神经网络在AP1000核电站事故诊断应用中的初步研究.. |
| MLA | 赵云飞,et al."BP神经网络在AP1000核电站事故诊断应用中的初步研究".(2016). |
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