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

Xin Min Dong; Jie Han; Wang Shen Hao

doi:10.4028/www.scientific.net/AMM.66-68.1315

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 66-68Full Information Fusion and its Application in...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 66-68)

Pages:

1315-1319

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.66-68.1315

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Online since:

July 2011

Authors:

Xin Min Dong, Jie Han, Wang Shen Hao

Keywords:

BP Neural Network (BPNN), Fault Diagnosis, Information Fusion, Rotary Machinery

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