A method for weak impact signal discrimination based on para-approximate entropy

被引:4
作者
Cao, Yanlong [1 ]
He, Yuanfeng [1 ]
Yang, Jiangxin [1 ]
Gan, Chunbiao [1 ]
机构
[1] Zhejiang Univ, Inst Adv Mfg Engn, Hangzhou 310027, Zhejiang, Peoples R China
关键词
LPMS; Teager energy operator; AR model; P-ApEn; Impact signal; MONITORING-SYSTEM; LOOSE; NOISE;
D O I
10.1016/j.pnucene.2012.05.004
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Impact signal of the loose part in a nuclear power plant provides vital information about its mass and location. Hence detection of the impact signal is of great significance. In a practical NPP working environment, some weak impact signals may submerge in background noises. A signal detection and impact signal discrimination method is proposed in this paper. Teager energy operator is used to process a whitened signal using auto-regression model. It increases the signal to noise ratio (SNR) and makes the impact signal detection easy. Para-approximate entropy method is proposed to process the energy envelop for discriminating the loose part impact signal from other interferences. Simulated experiment has been carried out to verify the proposed method. Data analysis proves that it is capable to detect and discriminate a weak impact signal with low SNR. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:53 / 60
页数:8
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