Signal-Noise Separation Method Based on PSO for Vibration Signals

Hong Xia Pan; Jin Ying Huang

doi:10.4028/www.scientific.net/AMR.159.686

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 159Signal-Noise Separation Method Based on PSO for...

Signal-Noise Separation Method Based on PSO for Vibration Signals

Abstract:

The wavelet analysis is combined with particle swarm optimization (PSO) which is applied to the de-noise process of vibration responding signals in this paper. The fault information has been enhanced. Furthermore, the signal-noise separation method based on particle swarm optimization for vibration signal and the diagnosis precision enhancement technology are studied, by means of the blind source separation technique.

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Periodical:

Advanced Materials Research (Volume 159)

Pages:

686-690

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.159.686

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Online since:

December 2010

Authors:

Hong Xia Pan, Jin Ying Huang

Keywords:

Fault Diagnosis, Gear Box, Particle Swarm Optimization Algorithm (PSO), Signal-Noise Separation

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References

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