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A Vibration Signal Preprocessing Method for Hydraulic Pump Based on ILCD Fusion

  • Han DongEmail author
  • Sun Jian
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

Hydraulic pump vibration signal preprocessing is the basis for failure prediction. The vibration signal preprocessing method based on ILCD fusion is proposed to solve the problem that the vibration signal is nonlinear and the feature information is weak. Firstly, the high-frequency harmonics are combined with ILCD to decompose multi-channel vibration signals, and ISC components can be achieved. Secondly, the sensitive factors are defined as evaluation indexes, and the sensitive components containing the fault feature information are screened and weighted fusion. The reconstructed signal is obtained to reduce the noise and other interference components and effectively extract the fault feature information. Finally, the effectiveness of this method is verified by measuring the vibration signal of the hydraulic pump.

Keywords

Signal preprocessing ILCD Information fusion Hydraulic pump 

References

  1. 1.
    Jinde Z, Junsheng C, Ming Z. A new time-frequency analysis method based on improved local characteristic-scale decomposition and normalized quadrature. Acta Electron Sin. 2015;43(7):1419–23.Google Scholar
  2. 2.
    Petrea L, Demian C, Brudny JF. High-frequency harmonic effects on low frequency iron losses. IEEE Trans Magn. 2014;50(11):6301204.CrossRefGoogle Scholar
  3. 3.
    Cheng J, Zheng J, Yang Y. A nonstationary signal analysis approach-the local characteristic-scale decomposition method. J Vibr Engi. 2012;25(2):215–20.Google Scholar
  4. 4.
    Urgaonkar R, Neely MJ. Optimal routing with mutual information accumulation in wireless networks. IEEE J Sel Areas Commun. 2012;30(9):1730–7.CrossRefGoogle Scholar
  5. 5.
    Zhao X, Patel TH, Zuo MJ. Multivariate EMD and full spectrum based condition monitoring for rotating machinery. Mech Syst Sig Process. 2012;27:712–28.CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Shijiazhuang Campus of Army Engineering UniversityShijiazhuangChina
  2. 2.Luoyang Electronic Equipment Experiment CenterLuoyangChina

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