Study on Slurry Noise of Electromagnetic Flowmeter Based on ARMA Power Spectrum Estimation

被引:2
|
作者
Gao, Song [1 ]
Li, Bin [1 ]
机构
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China
关键词
Compendex;
D O I
10.1155/2015/976487
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The output signal of the electromagnetic flowmeter measuring the slurry flow will be disturbed by the slurry noise. It is necessary to study the characteristics of slurry noise in order to reduce the interference. The methodology for the estimation of the slurry noise power spectrum based on the ARMA model is presented in this paper, and the relation among the slurry noise, the velocity, and the concentration is obtained by means of the methodology above according to the 1/f characteristics of the slurry noise. The results by computer simulation experiment show that if the concentration or flow velocity is increased, then slurry noise power spectral density curve in the logarithmic coordinate system will move to the upper right; if the concentration or flow velocity is reduced, then slurry noise power spectral density curve in the logarithmic coordinate system will move to the lower left.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] An iterative spectrum sensing algorithm based on accurate noise estimation
    Yuan, Long
    Xing, Lu
    Peng, Tao
    Wang, Wen-Bo
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2014, 36 (03): : 655 - 661
  • [32] Noise Spectrum Estimation Based on SNR Discrepancy for Speech Enhancement
    Saha, Atanu
    Shimamura, Tetsuya
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2014, E97D (02) : 373 - 377
  • [33] A LOW-COMPLEXITY NOISE ESTIMATION ALGORITHM BASED ON SMOOTHING OF NOISE POWER ESTIMATION AND ESTIMATION BIAS CORRECTION
    Yu, Rongshan
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 4421 - 4424
  • [34] NOISE POWER ESTIMATION BASED ON THE PROBABILITY OF SPEECH PRESENCE
    Gerkmann, Timo
    Hendriks, Richard C.
    2011 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS (WASPAA), 2011, : 145 - 148
  • [35] Speech pause detection for noise spectrum estimation by tracking power envelope dynamics
    Marzinzik, M
    Kollmeier, B
    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2002, 10 (02): : 109 - 118
  • [36] ADAPTIVE NOISE POWER SPECTRUM ESTIMATION FOR COMPACT DUAL CHANNEL SPEECH ENHANCEMENT
    Jeong, So-Young
    Kim, Kyuhong
    Jeong, Jae-Hoon
    Oh, Kwang-Cheol
    Kim, Jeongsu
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 1630 - 1633
  • [37] Robust Estimation of Non-Stationary Noise Power Spectrum for Speech Enhancement
    Mai, Van-Khanh
    Pastor, Dominique
    Aissa-El-Bey, Abdeldjalil
    Le-Bidan, Raphael
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2015, 23 (04) : 670 - 682
  • [38] Enhanced Imaging for Through-the-wall Radar with Noise Power Spectrum Estimation
    Song, Yongping
    Du, Hao
    Jin, Tian
    Lu, Biying
    Zhou, Zhimin
    2017 XXXIIND GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM OF THE INTERNATIONAL UNION OF RADIO SCIENCE (URSI GASS), 2017,
  • [39] Gaussian Noise Time-Varying Power Spectrum Estimation With Minimal Statistics
    Huillery, Julien
    Millioz, Fabien
    Martin, Nadine
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2014, 62 (22) : 5892 - 5906
  • [40] Study on a new electromagnetic flowmeter based on three-value trapezoidal wave excitation
    Ge, Liang
    Chen, Junxian
    Tian, Guiyun
    Ahmed, Junaid
    Huang, Qi
    Hu, Ze
    FLOW MEASUREMENT AND INSTRUMENTATION, 2021, 78