This paper intends to combine the theory of parallel stochastic resonance and auto correlation approach in simulation data of low-speed heavy-load equipment to improve SNR of the stochastic resonance (SR) system. By analyzing simulation signal and test signal from lab table, it is found that the time cycle and frequency characteristics become more apparent. Such combination enables higher detectivity of SR toward weak signal of low-speed heavy-load equipment fault.