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作 者:方力先[1] 曾复[1] 曹衍龙[2] 杨将新[2] 王赤虎 谢永诚 沈小要
机构地区:[1]杭州电子科技大学,杭州310012 [2]浙江大学,杭州310027 [3]上海核工程设计研究院,上海200233
出 处:《核动力工程》2010年第6期113-116,122,共5页Nuclear Power Engineering
基 金:国家"863"项目资助(2007AA04Z426)
摘 要:为提高核电站松动件监测系统的报警准确率,提出用非线性分形理论对松动件进行报警。通过分析背景噪声、松动件冲击信号和背景噪声下冲击信号的关联维数发现,关联维数的变化能很好地反映出反应堆运行中的零件松动情况。即不同质量的零件松动产生的冲击信号具有相近的关联维数,且与背景信号有明显的区别;在背景信号下的钢球冲击信号仍能表现出钢球冲击信号的特征。实验证明,即使在很小信噪比下,仍能有效检测出冲击信号。To improve the alarm veracity rate for Loose Part Monitoring System(LPMS) of nuclear power stations,a new alarm method based on the nonlinear fractal theory is presented in this paper.Correlation dimensions for background noise,loosen part impact signal and loosen part impact signal under background noise are studied respectively.It is found that the change of correlation dimension reflects the situation of loosen part well during nuclear reactor operation.Correlation dimensions for steel balls with different mass have approximate values,and the difference between the correlation dimensions of steel ball impact signal and background noise is significant,even if the steel ball impact signal is under background noise.It has been proven by experiments that the impact signal can be detected efficiently even if signal-to-noise ratio is poor.
分 类 号:TN911.7[电子电信—通信与信息系统] TH165.3[电子电信—信息与通信工程]
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