Full Information Fusion and its Application in Fault Diagnosis for Rotary Machinery
Xin Min Dong, Jie Han, Hao Wang · Applied Mechanics and Materials · 2011
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.