SSR detection method based on normalized adaptive stochastic resonance
Yuhui Zhang, Yapeng Zhang & Jiaming Wu
Northeast Dianli University, Jilin, Jilin Province, China
ABSTRACT: This paper proposed a normalized, automatically adaptive stochastic resonance Sub-Synchronous Resonance (SSR) detection method. In reality, the purpose is to detect the SSR early signals quickly and accurately. Based on stochastic resonance theory, the paper is for the signal’s greater frequency and small amplitude characteristics. The steps of the method are (a) make the stochastic resonance equation do normalization transformation; (b) realize the large parameter signal detection; (c) adjust the parameter automatically adaptively; (d) get the optimal value of the ...
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