Monitoring of Deep Processing of Oil De-Noising Technique

Xiao Gang Jia

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 52-54Monitoring of Deep Processing of Oil De-Noising...

Monitoring of Deep Processing of Oil De-Noising Technique

Abstract:

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:

Applied Mechanics and Materials (Volumes 52-54)

Pages:

654-658

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.52-54.654

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Online since:

March 2011

Authors:

Xiao Gang Jia

Keywords:

Deep-Hole Machining, Moving Average Filtering, Oil Pressure Signal, Wavelet De-Noising

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