Particle Swarm Optimization and Adaptive Wavelet Theory for Vibration Signal Application in Fault Diagnosis of Gearbox System

Han Xin Chen; Yan Zhang

doi:10.4028/www.scientific.net/AMR.791-793.958

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793Particle Swarm Optimization and Adaptive Wavelet...

Particle Swarm Optimization and Adaptive Wavelet Theory for Vibration Signal Application in Fault Diagnosis of Gearbox System

Abstract:

Gearbox system is widely used in mechanical industry,but serious failure is always occurred in the gearbox system. So it is very necessary to diagnose the fault of gearbox in the early-age avoiding economic losses. In this paper, a novel method for extracting the characteristic information from the vibration signal of gearbox system based on the particle swarm optimization (PSO) algorithm and adaptive wavelet theory is proposed.

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Advanced Materials Research (Volumes 791-793)

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958-961

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.958

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Online since:

September 2013

Authors:

Han Xin Chen, Yan Zhang

Keywords:

Adaptive Wavelet Theory, Fault Diagnosis, Gearbox System, Particle Swarm Optimization (PSO)

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