Paper Title:
Research on Fault Diagnosis for Petrochemical Running Equipments Based on ICA
  Abstract

For solving the difficulty of feature signal extraction from vibration signals, a new method based on Independent Component Analysis (ICA) is proposed to realize separation and filtering for multi-source vibration signals. Firstly, the principal and algorithm of ICA used to separate mixed signals is introduced. Secondly, application in signal separation and filtering with ICA is studied in diagnosis. In addition, imitation and field examples are given. The experiments show it is feasible to separate and extract feature signal from multi-source vibration signals and it is an effective method in signal preprocessing in fault diagnosis.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
950-953
DOI
10.4028/www.scientific.net/AMM.48-49.950
Citation
Z. G. Chen, X. J. Lian, M. Zhou, "Research on Fault Diagnosis for Petrochemical Running Equipments Based on ICA", Applied Mechanics and Materials, Vols. 48-49, pp. 950-953, 2011
Online since
February 2011
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Price
$32.00
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