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Detecting weak periodic signal by chaotic oscillator is not only a new method, but also practical applications on chaos theory. However, when using this method to detect weak periodic signal, we have to know the frequency of weak periodic signal in advance, which limits applications of the method. This paper studies the relation between the frequency of measured weak periodic signal and max-variance...
We put forward a new piecewise-linear stochastic resonance(SR) model for detecting the weak signal under the strong noise background for the large parameter case. Parameters of this piecewise-linear stochastic resonance system are less correlated than those of the traditional continuous nonlinear bistable system, so that it is much easier to adjust the response characteristic of this system and generate...
We put forward a new piecewise-linear stochastic resonance (SR) model for detecting the weak signal under the strong noise background. we show its description equations and haracter parameters. Through numerically simulating its performance under periodic signal and aperiodic signal respectively, we illustrate that this system is very helpful for detecting the weak signal under the strong noise background.
In this paper, we study how to use the stochastic resonance principle to detect the weak intermediate and low frequency signals under the condition of intensive noise in mechanical fault diagnosis. According to the relationship among system outputs, system parameters and input signals, we've studied the algorithm and the technology of the software self-adaptive control of the nonlinear bistable system...
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