Monitoring of Deep Processing of Oil De-Noising Technique

Abstract:

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Oil for deep processing of the signal contains a lot of pulse interference monitoring and random non-stationary noise characteristics; this paper presents a wavelet-based moving average against impulse noise filter. First on the hydraulic signal wavelet de-noising, wavelet processing and then the results after anti-pulse moving average processing. The simulation signals and hydraulic monitoring signal de-noising experiments show that: the use of wavelet technology and anti-pulse interference filter combination of moving average method has good oil pressure monitoring signal filtering, to achieve deep process debris blocking fault laid the foundation for monitoring.

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Periodical:

Edited by:

Zhou Mark

Pages:

654-658

DOI:

10.4028/www.scientific.net/AMM.52-54.654

Citation:

X. G. Jia "Monitoring of Deep Processing of Oil De-Noising Technique", Applied Mechanics and Materials, Vols. 52-54, pp. 654-658, 2011

Online since:

March 2011

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Price:

$35.00

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