Weak Signal Detection Based on Stochastic Resonance of Piecewise Model

Wen Li Zhao; Yuan Ping Yin; Qian Fang

doi:10.4028/www.scientific.net/AEF.4.222

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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vol. 4Weak Signal Detection Based on Stochastic...

Weak Signal Detection Based on Stochastic Resonance of Piecewise Model

Abstract:

Based on traditional theory of bistable stochastic resonance, this paper puts forward a piecewise stochastic resonance model which used to detect medium- low-frequency weak periodic signal and deducts analytical results of signal-to-noise ratio. Besides, we have done simulation experiments and contrast analysis of the two models also. The result shows that the piecewise model is better to detect medium- low-frequency weak periodic signal in background of strong noise with higher SNR and wider frequency range. It has raised adaptability to detect periodic signal which is common in mechanical failure. Combined with the piecewise bistable stochastic resonance model and the modulate method, it is more effectively to achieve judgment and detection of the mechanical fault signals.

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Periodical:

Advanced Engineering Forum (Volume 4)

Pages:

222-226

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.4.222

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Online since:

June 2012

Authors:

Wen Li Zhao, Yuan Ping Yin, Qian Fang

Keywords:

Piecewise Model, Stochastic Resonance, Weak Signal Detection

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Creative Commons CC BY 4.0

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References

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