Analysis of weak signal detection based on tri-stable system under Levy noise
Analysis of weak signal detection based on tri-stable system under Levy noise
复制标题
Levy噪声下基于三稳态系统的微弱信号检测分析
DOI:
10.1088/1674-1056/25/6/060501
复制
发表时间:
2016-05
影响因子:
1.7
通讯作者:
Song Ying
中科院分区:
文献类型:
--
作者:
He Li-Fang;Cui Ying-Ying;Zhang Tian-Qi;Zhang Gang;Song Ying
Stochastic resonance system is an effective method to extract weak signal. However, system output is directly influenced by system parameters. Aiming at this, the Levy noise is combined with a tri-stable stochastic resonance system. The average signal-to-noise ratio gain is regarded as an index to measure the stochastic resonance phenomenon. The characteristics of tri-stable stochastic resonance under Levy noise is analyzed in depth. First, the method of generating Levy noise, the effect of tri-stable system parameters on the potential function and corresponding potential force are presented in detail. Then, the effects of tri-stable system parameters w, a, b, and Levy noise intensity amplification factor D on the resonant output can be explored with different Levy noises. Finally, the tri-stable stochastic resonance system is applied to the bearing fault detection. Simulation results show that the stochastic resonance phenomenon can be induced by tuning the system parameters w, a, and b under different distributions of Levy noise, then the weak signal can be detected. The parameter intervals which can induce stochastic resonances are approximately equal. Moreover, by adjusting the intensity amplification factor D of Levy noise, the stochastic resonances can happen similarly. In bearing fault detection, the detection effect of the tri-stable stochastic resonance system is superior to the bistable stochastic resonance system.
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影响因子:
2.9
作者:
Lu, Siliang;He, Qingbo;Kong, Fanrang
通讯作者:
Kong, Fanrang
影响因子:
4.7
作者:
Bohou Xu;L. Zeng;Jianlong Li
通讯作者:
Bohou Xu;L. Zeng;Jianlong Li
DOI:
10.1080/01621459.1976.10480344
发表时间:
1976-06
影响因子:
3.7
作者:
J. Chambers;C. Mallows;B. Stuck
通讯作者:
J. Chambers;C. Mallows;B. Stuck
影响因子:
2.9
作者:
Huiqing Zhang;Yong Xu;Wei Xu;Xiuchun Li
通讯作者:
Huiqing Zhang;Yong Xu;Wei Xu;Xiuchun Li
DOI:
10.1103/physreve.85.046207
发表时间:
2012-04
期刊:
Physical review. E, Statistical, nonlinear, and soft matter physics
影响因子:
--
作者:
yangxin Tang;W. Zou;Jianquan Lu;J. Kurths
通讯作者:
yangxin Tang;W. Zou;Jianquan Lu;J. Kurths