Paper Title:
Reducing the Malfunction Signal Noise from NC Machine Tool Bearing Based on the Kalman Filtration
  Abstract

Surface desquamation is the major performance of the NC machine tool malfunction. The malfunction can be diagnosed through whether running character frequency and its harmonic wave of the bearing inner ring or outer ring is present in the shock vibration produced by the malfunction. This article establishes a dynamic model of surface desquamation, a bearing vibration state model and observation model. Meanwhile the vector of the model is obtained. It has been proved through emulation and experiments that bearing malfunction signal can be effectively traced and estimated by Kalman filtration.

  Info
Periodical
Key Engineering Materials (Volumes 426-427)
Edited by
Dunwen Zuo, Hun Guo, Guoxing Tang, Weidong Jin, Chunjie Liu and Chun Su
Pages
463-467
DOI
10.4028/www.scientific.net/KEM.426-427.463
Citation
X. J. Wang, X. G. Fu, Y.S. Luo, "Reducing the Malfunction Signal Noise from NC Machine Tool Bearing Based on the Kalman Filtration", Key Engineering Materials, Vols. 426-427, pp. 463-467, 2010
Online since
January 2010
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