The adaptive detection and application of weak signal based on stochastic resonance

In this paper, we study how to use the stochastic resonance principle to detect the weak intermediate and low frequency signals under the condition of intensive noise in mechanical fault diagnosis. According to the relationship among system outputs, system parameters and input signals, we've studied the algorithm and the technology of the software self-adaptive control of the nonlinear bistable system. Using this method, we can obtain output with adequate Signal-to-Noise ratio (SNR) without solving complex differential equations. The simulation results show the affectivity of this method. This study shows a way to detect the weak singles under the condition of intensive noise.