Full Information Fusion and its Application in Fault Diagnosis for Rotary Machinery

Abstract:

Article Preview

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 et al., "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

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.