In order to overcome the limitations of small parameter detection conditions in classical stochastic resonance, this paper mainly introduces the single sideband modulation technology based on Hilbert transform combined with a secondorder stochastic resonance system, and the application of modulation stochastic resonance to realize large signal detection in engineering is proposed. At the same time, the paper discusses the cases of small sampling frequency and large sampling frequency, and makes relevant research on the selection of fundamental frequency signals. It demonstrates that the Hilbert single sideband frequency modulation has a good detection effect under the condition of small sampling frequency combined with the secondorder system, but under the condition of large sampling frequencies, it can be promoted combined with scale transformation. Numerical simulation analysis shows that the baseband signal has a higher and more stable output signaltonoise ratio when it takes about 10~60 times the frequency axis resolution. The effect of this technique combined with secondorder systems is significantly better than firstorder systems. Finally, the scale transformation with Hilbert single sideband frequency modulation technology is applied to the bearing inner and outer ring fault signal detection, and it is found that the large frequency fault signal can be detected obviously and accurately.