| 基于时序数据挖掘的核电厂故障诊断技术研究 |
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| 引用本文： | 慕昱,夏虹,刘永阔.基于时序数据挖掘的核电厂故障诊断技术研究[J].核动力工程,2011,32(5):45-48. |
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| 作者姓名： | 慕昱 夏虹 刘永阔 |
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| 作者单位： | 1. 哈尔滨工程大学核安全与仿真技术国防重点学科实验室,哈尔滨,150001
2. 哈尔滨工程大学核安全与仿真技术国防重点学科实验室,哈尔滨,150001;中国核动力研究设计院,成都,610041 |
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| 摘 要： | 将时序数据挖掘引入核电厂故障诊断,把核电厂的故障诊断当作序列监督学习问题来对待,并采用滑动窗算法将序列监督学习问题转化为经典的监督学习问题.针对反应堆失水事故( LOCA)进行的仿真实验结果表明,在采用滑动窗算法后,诊断精度有一定的提高,再进一步对滑动窗内的时序数据进行特征提取后,诊断精度有了更大的提高,可以解决经典算...
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| 关 键 词： | 核动力装置 故障诊断 时序数据挖掘 滑动窗 |
Study on Fault Diagnosis Technology for Nuclear Power Plants Based on Time Series Data Mining |
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| MU Yu,XIA Hong,LIU Yong-kuo.Study on Fault Diagnosis Technology for Nuclear Power Plants Based on Time Series Data Mining[J].Nuclear Power Engineering,2011,32(5):45-48. |
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| Authors: | MU Yu XIA Hong LIU Yong-kuo |
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| Affiliation: | MU Yu1,XIA Hong1,LIU Yong-kuo2,1 (1.Nuclear Safety and Simulation Technique National Defense Key Subject Laboratory,Harbin Engineering University,Harbin,150001,China,2.Nuclear Power Institute of China,Chengdu,610041,China) |
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| Abstract: | Time series data mining is applied to the fault diagnosis for nuclear power plants.dow method is used to convert the problem to a standard supervised learning problem.Simulation experiment is carried out by LOCA.The simulation results show that the diagnostic accuracy has certain improvement when the sliding-window method is applied.Furthermore,extracting the feature of the time series data in the sliding-window,the diagnostic accuracy is improved greatly.Some problems which can not be solved by classical a... |
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| Keywords: | Nuclear power plants Fault diagnosis Time series data mining Sliding-window |
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