基于联合单势阱和Woods-Saxon势的随机共振系统研究  

Research on stochastic resonance system based on combination of single-well and Woods-Saxon potential

作　　者：张刚[1] 石佳蓓 张天骐[1] 

机构地区：[1]重庆邮电大学信号与信息处理重庆市重点实验室

出　　处：《电子测量与仪器学报》2018年第1期142-149,共8页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(61771085,61371164);信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003);重庆市教育委员会科研项目(KJ1600427,KJ1600429)资助

摘　　要：传统双稳随机共振系统在检测低输入信噪比的信号时,其系统参数难以达到最佳,故得不到最佳检测效果。针对这一问题,将单势阱模型与Woods-Saxon模型相结合提出一种MWS型双稳随机共振系统,其系统参数之间相互独立,所以可通过调节系统参数来得到最佳输出信噪比。仿真结果表明,对于单频小参数信号,其信噪比增益为16.92 dB,对单频大参数信号,其信噪比增益为12.41 dB。最后将MWS型双稳随机共振系统应用到轴承故障检测中,能准确的检测到故障信号,且其检测结果优于传统双稳随机共振系统。When the traditional bistable stochastic resonance system detects signal with low input SNR,it is difficult to tune the system parameters to the optimum,so it can’t achieve the best detection results. Aiming at this problem,a new MWS SR based on the combination of Woods-Saxon and single-well model is proposed. In the new system,all the system parameters are independent with each other,thus the output SNR can be optimized by tuning the system parameters respectively. The simulation results show that SNRI is 16. 92 dB for small parameter signal,while the SNRI is 12. 41 dB for large parameter signal. Finally,this method is applied to the bearing fault signal detection,which can detect the fault signal accurately,and the results are better than traditional SR.

关 键 词：MWS型双稳随机共振 系统参数 信噪比增益 故障检测 

分 类 号：TN911.23[电子电信—通信与信息系统]