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

作者：Cao, Yanlong^*; He, Yuanfeng; Yang, Jiangxin; Gan, Chunbiao

来源：Progress in Nuclear Energy, 2012, 60: 53-60.

DOI：10.1016/j.pnucene.2012.05.004

• LPMS
• Teager energy operator
• AR model
• P-ApEn
• Impact signal

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.

• 出版日期2012-9
• 单位浙江大学