Abstract
This paper aimed at the key problems which the monitoring and fault diagnosis of process system generated in the high performance composite components manufacturing, established a new type of second-order bistable model, proposed a kind of adaptive stochastic resonance noise reduction method based on the model, and experimented to verifiy, it has very good detection effect and higher operation effect.
Highlights
A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction MethodTo cite this article: Rui Tang, Zheng Zhang
There are important moving parts in intelligent manufacturing equipment of the high performance composite material components, such as motor, gear case and spindle, etc
Gammaitoni, etc. [4] uesd theoretical analysis to prove that the reason of why small parameter stochastic resonance can be drive by low frequency signalis adiabatic approximation theory
Summary
To cite this article: Rui Tang, Zheng Zhang. A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction Method. Received: September 21, 2017; Accepted: October 11, 2017; Published: November 21, 2017
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