• Optics and Precision Engineering
  • Vol. 27, Issue 11, 2484 (2019)
CHEN Bin1 and LIU Ge2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/ope.20192711.2484 Cite this Article
    CHEN Bin, LIU Ge. Extraction for HHT features of pressure vibration signals of oil pulsating flow with different particle concentration[J]. Optics and Precision Engineering, 2019, 27(11): 2484 Copy Citation Text show less

    Abstract

    Particle concentration has any effect on turbulence characteristics of the oil, by using Hilbert-Huang method, the pressure signal of oil pulsating flow with different particle concentration was analyzed, and the law of particle concentration effect on vibration characteristics of pressure signal was discussed. Using empirical mode function, Hilbert transform and envelope demodulation method, the Hilbert spectrum and energy characteristics of oil pressure signal was obtained, analyzes the energy distribution of the pressure signal of oil containing different particle concentration, and the characteristics of frequency modulation and amplitude modulation, and the instantaneous frequency of the modulating signal were analyzed. The results showed that each intrinsic mode function (IMF) component is divided into three signal characteristic bands as the characteristic vector using IMF energy; with particles concentration increased, the time variation of the each order IMF component of pressure signal of oil pulsating flow of develops gradually from high band of modulation features to low band, cumulative distribution of high-frequency district of marginal spectrum of pressure signal stables basically range within 0.7. Moreover, as the middle-frequency district decreased, the low-frequency district tended to increase. The average amplitude of the high-frequency district of the marginal spectrum rendered first increased and then decreased as the particle concentration of oil increased, and the amplitude of the middle- and low-frequency components increased. The instantaneous energy spectrum of the pressure signal in different frequency bands was integrated to obtain the total energy of the pressure signal that decreased as particle concentration increased and the energy characteristics of the middle-frequency district declined. Oil pressure signals with different particle concentrations have modulation characteristics. The instantaneous frequency mean value of the Hilbert envelope demodulation signal first increased and then decreased.
    CHEN Bin, LIU Ge. Extraction for HHT features of pressure vibration signals of oil pulsating flow with different particle concentration[J]. Optics and Precision Engineering, 2019, 27(11): 2484
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