期刊文献+

AM型随机共振模拟电路的滚动轴承微弱故障检测性能研究

Research on Weak Periodical Signal Detection Performance of Rolling Bearing Based on Simulation of AM Stochastic Resonance
下载PDF
导出
摘要 随机共振理论广泛应用于信号检测中,尤其在滚动轴承微弱故障检测中极其重要。但是对滚动轴承微弱故障检测性能的定量评价问题未做深入研究。在传统随机共振理论的基础上设计了基于调幅(Amplitude Modulation,AM)信号的改进型双稳态随机共振电路,通过Multisim仿真验证了该电路不仅可以实现对大参数故障信号进行故障诊断,还可以有效地削弱直流量的影响,实现滚动轴承微弱故障信号的检测。除此之外,还分析了不同强度噪声对微弱故障检测的影响,以及输入参数变化对电路输出的影响规律,为随机共振电路在滚动轴承微弱故障检测的实际工程应用提供了可靠的科学依据。 The theory of stochastic resonance is widely used in the detection of weak signal, especial- ly in rolling bearing fault detection. However, the quantitative evaluation of the performance of the weak fault detection has not been reported. In this paper, AM stochastic resonance circuit is designed, which is based on the traditional theory of stochastic resonance and the experiments were carried out. The simulation results show that the proposed method can not only reduce the influence of straight flow but also implement the extraction of fault feature. In addition, the performance of the fault detection in the condition of different signal to noise is analyzed, and the influence of input parameters is studied. The research provides a scientific basis for the practical engineering application of the stochastic reso- nance circuit in the early fault detection of bearing.
作者 柳晓云 马增强 王建东 Liu Xiaoyun Ma Zengqiang Wang Jiandong(School of Electrical and Electronics Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, Chin)
出处 《石家庄铁道大学学报(自然科学版)》 2017年第4期40-45,51,共7页 Journal of Shijiazhuang Tiedao University(Natural Science Edition)
基金 国家自然科学基金(11227201 11372199 11572206) 河北省自然科学基金(A2014210142)
关键词 随机共振 MULTISIM 电路设计 微弱信号 stochastic resonance Multisim circuit design weak signal
  • 相关文献

参考文献6

二级参考文献62

共引文献200

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部