2005•Unpublished venueRequires access

The Application of Stochastic Resonance for Weak Signal Extraction from Strong Noise

Wenli Zhao

Open publisher page 1 citations

Abstract

In this paper, using the stochastic resonance technique, the detection method of weak signal is introduced, and then a method to process engineering signal is introduced when adiabatic assumption is not meet. It shows that the stochastic resonance is fully able to be a new fault diagnose tool in mechanics.

About this research paper

What this paper is about

In this paper, using the stochastic resonance technique, the detection method of weak signal is introduced, and then a method to process engineering signal is introduced when adiabatic assumption is not meet. It shows that the stochastic resonance is fully able to be a new fault diagnose tool in mechanics.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, using the stochastic resonance technique, the detection method of weak signal is introduced, and then a method to process engineering signal is introduced when adiabatic assumption is not meet. It shows that the stochastic resonance is fully able to be a new fault diagnose tool in mechanics.

Key concepts: Stochastic resonance, SIGNAL (programming language), Noise (video), Resonance (particle physics), Adiabatic process, Computer science, Stochastic process, Statistical physics

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