参数同步优化随机共振在牵引传动系统早期微弱故障诊断中的应用  

Application of parameter synchronous optimization stochastic resonance in early weak fault diagnosis of traction drive system

作　　者：尹进田[1] 唐杰[1] 刘丽[1] 刘新波[1] 彭志华[1] 李辉[1] YIN Jintian;TANG Jie;LIU Li;LIU Xinbo;PENG Zhihua;LI Hui(Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area,Shaoyang University,Shaoyang 422000,China)

机构地区：[1]邵阳学院多电源地区电网运行与控制湖南省重点实验室,湖南邵阳422000

出　　处：《振动与冲击》2021年第17期234-240,278,共8页Journal of Vibration and Shock

基　　金：湖南省自然科学基金项目(2020JJ4558,2020JJ5519);湖南省教育厅重点项目(19A447);湖南省科技厅科技计划项目(2016TP1023)。

摘　　要：为解决传统随机共振存在参数固定或仅对单个参数进行优化的不足,提出一种参数同步优化随机共振方法,该方法首先利用移频变尺度预处理实际大信号,使信号符合小参数条件;然后采用状态转移随机共振同步优化系统参数;最后通过频率恢复实现早期微弱故障特征最优提取。仿真和高速列车牵引传动系统硬件在环故障注入平台试验表明,该方法可以有效地从强背景噪声中检测出微弱故障信号,微弱信号提取和故障诊断的结果证明了其可行性和有效性。Here,to solve the problem of traditional stochastic resonance having fixed parameters or only optimizing a single parameter,a parameter synchronous optimization stochastic resonance method was proposed.Firstly,a real large signal was preprocessed with frequency shift and scale variation to make the signal conform to the condition of small parameter.Then,system parameters were synchronously optimized using state transition stochastic resonance.Finally,the optimal extraction of early weak fault features was realized through frequency recovery.Simulation and tests of high-speed train traction drive system hardware in the loop fault injection platform showed that the proposed method can effectively detect weak fault signals from strong background noise;the results of weak signal extraction and fault diagnosis verify the feasibility and effectiveness of the proposed method.

关 键 词：随机共振 参数同步优化 状态转移 牵引传动系统 

分 类 号：TH212[机械工程—机械制造及自动化] TH213.3