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.
出处
《核动力工程》
EI
CAS
CSCD
北大核心
2010年第6期113-116,122,共5页
Nuclear Power Engineering
基金
国家"863"项目资助(2007AA04Z426)
关键词
反应堆
松动件
吸引子
关联维数
Reactor
Loosen Part
Attractor
Correlation dimension
