基于随机共振理论的低速重载设备故障诊断  

Fault diagnosis of low-speed and heavy-duty equipments based on stochastic resonance theory

作　　者：张家凡[1] 黄之初[2] 

机构地区：[1]武汉工业学院机械工程系,湖北武汉430023 [2]武汉理工大学机电工程学院,湖北武汉430070

出　　处：《煤炭学报》2007年第10期1098-1101,共4页Journal of China Coal Society

基　　金：国家"863"计划引导项目(2005AA001120)

摘　　要：基于随机共振理论,结合包络解调分析研究微弱低频幅值调制信号的增强与提取,并应用于低速重载设备的故障诊断.运用信号自含噪声或外加噪声,通过变步长数值算法和调节非线性双稳系统结构参数,来实现微弱低频幅值调制信号的随机共振现象.模拟调幅信号和实测低速重载齿轮箱振动信号的分析结果,证实了本文提出的方法在检测微弱低频幅值调制信号上,明显优于传统的FFT谱分析和包络解调方法.Enhancement and extraction of the weak low-frequency amplitude-modulated signal were studied using the combination of the stochastic resonance(SR) and envelope demodulation analysis,which was applied to the fault diagnosis of low-speed and heavy-duty equipments.The signal was firstly input into a nonlinear bistable system to realize the SR effect,which then was demodulated using the envelope analysis.The SR effect of the signal was realized based on the step-changed numerical algorithm and the adjustment of...

关 键 词：随机共振 低速重载设备 故障诊断 

分 类 号：TH165.3[机械工程—机械制造及自动化]