Paper Title:
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.

  Info
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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