Paper Title:
Full Information Fusion and its Application in Fault Diagnosis for Rotary Machinery
  Abstract

The rotor motion and the information fusion of single section were discussed; the fault diagnosis method for rotary machinery based on the full information fusion of two sections was put forward, and the back propagation neural network model was established. Engineering practice indicated that the fault diagnosis accuracy based on the information fusion of two sections was higher than that based on the information fusion of single section.

  Info
Periodical
Edited by
Honghua Tan
Pages
1315-1319
DOI
10.4028/www.scientific.net/AMM.66-68.1315
Citation
X. M. Dong, J. Han, W. S. Hao, "Full Information Fusion and its Application in Fault Diagnosis for Rotary Machinery", Applied Mechanics and Materials, Vols. 66-68, pp. 1315-1319, 2011
Online since
July 2011
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Price
$32.00
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