Adaptive stochastic resonance rotor fault detection algorithm based on stability constraint

To solve the calculation divergent problems in the application of traditional genetic algorithm stochastic resonance, an adaptive stochastic resonance based on stability constraint was put forward. The stability analysis was conducted to the Langevin equation.Thus the constraint formula of frequency compression ratio R in consideration of input signals was obtained. And this stability constraint was applied in the optimization process, changing the unconstrained optimization problem into constrained optimization problem. The improved Adaptive Stochastic Resonance Algorithm method was applied in the early rotor rubbing fault detection. The analysis results show that the improved method ensures the stability of system output. The frequency compression ratio R is under the constraint value during the optimal process, which avoids the calculation divergent phenomenon. The method realizes the weak fault signals extraction under strong noise conditions.