一阶线性系统随机共振在滑动轴承故障诊断中的应用研究  

Application of First-order linear system's Stochastic Resonance In Fault Diagnosis of Sliding Bearing

作　　者：冷永刚[1] 田祥友[1] 

机构地区：[1]天津大学机械工程学院,天津300072

出　　处：《新型工业化》2013年第9期92-98,共7页The Journal of New Industrialization

基　　金：国家自然科学基金(批准号:51275336);高等学校博士学科点专项科研基金(批准号:20120032110001)

摘　　要：针对机械系统早期微弱故障信号难识别诊断问题,提出一阶线性系统调参广义随机共振的特征提取方法,该方法通过调节一阶线性系统参数,可以得到信噪比取极大值的广义随机共振现象。为得到清晰的特征信号,以可辨识性为优化目标,给出了系统参数、信号频率、采样频率等参数之间的选择关系。滑动轴承实验台的早期微弱故障模拟实验,验证了此方法的有效性。The extraction method of signal's frequency based on the parameter- adjusted stochastic resonance of first-order linear system in a broad sense is presented in this paper, which is aimed at recognizing the weak fault signal in early stage. This method makes use of the phenomenon that the output signal-to-noise ratio(SNR) will get a resonance peak by tuning the system's parameter. To make characteristic signal more distinct, the paper explains how to choose the parameters among the system parameter, signal frequency and sampling rate targeted at the best signal recognition. Then the simulated early weak fault from test-bed of sliding bearing confirms the effectiveness of this method.

关 键 词：线性系统 调参共振 微弱信号 故障诊断 

分 类 号：TN911.4[电子电信—通信与信息系统]