Paper Title:
Application of Time-Frequency Distributions to the Blind Source Separation of Mechanical Fault Signals
  Abstract

In this study, blind source separation (BSS) method was applied to separate the multi-channel fault vibration signals generated by a rotor. As the signals were non-stationary, an algorithm based on spatial time-frequency distributions was applied to the experimental vibration signals to obtain the non-stationary vibration sources that were mutually independent. Further, AR modeling estimates of these sources were calculated with BURG method. A neural network was applied to the AR modeling parameters to perform the fault classification. The separation results of an experiment on a rotor’s multi-fault show that this method is feasible for fault diagnosis.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 1: Computer-Aided Manufacturing
Edited by
Wu Fan
Pages
395-399
DOI
10.4028/www.scientific.net/AMR.383-390.395
Citation
Z. H. Hao, H. X. Tian, L. X. Tian, "Application of Time-Frequency Distributions to the Blind Source Separation of Mechanical Fault Signals", Advanced Materials Research, Vols. 383-390, pp. 395-399, 2012
Online since
November 2011
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Price
$32.00
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