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

he 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.