Noise restraint is always the most important problem for measurement, especially for faint signal. Nevertheless a nonlinear stochastic resonance (SR) system is entirely different from a linear system. Dealing with annoying noise, it can turn parts of noise power into signal power to improve output signal to noise rate (SNR) significantly. This mechanism does not exist in conventional techniques. In this paper, we combined stochastic resonance technology and self adaptive technology together and proposed a new self-adaptive stochastic resonance method and presented the results of its application on weak fault signal detection of intermediate frequency power supply with strong background noise. The experimental results show the proposed technology is an effective method to detect weak signal with strong background noise. It provides another option for detecting weak signal based on stochastic resonance technology and self-adaptive technology. It have the potential to be used in many engineering measurement fields.
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