Application of Variable Precision Rough Set Model and Neural Network to Rotating Machinery Fault Diagnosis

2005 ◽  
pp. 575-584 ◽  
Author(s):  
Qingmin Zhou ◽  
Chenbo Yin ◽  
Yongsheng Li
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Rough Set ◽  
Rotating Machinery ◽  
Variable Precision ◽  
Variable Precision Rough Set ◽  
Machinery Fault Diagnosis

Application of Variable Precision Rough Set and Integrated Neural Network to Bearing Fault Diagnosis

2013 ◽  
Vol 373-375 ◽  
pp. 1060-1063
Author(s):  
Xiao Ling Niu ◽  
Bo Liu ◽  
Ke Zhang Lin
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Rough Set ◽  
Rough Set Theory ◽  
Optimal Decision ◽  
Design System ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Variable Precision ◽  
Variable Precision Rough Set

The integration of variable precision rough set and neural network is introduced into the bearing fault diagnosis. VPRS-INN fault diagnosis method is proposed: First, utilize the information entropy method for discretization of continuous attributes, and then use attribute dependence degree of the variable precision rough set theory for heuristic reduction. based on the reduction, obtain the optimal decision support system. Finally according to the optimal design system, we design a integrated neural network for fault diagnosis. instances have proved the feasibility and high fault diagnosis rate of the method.

Rough Neural Network Based on Variable Precision Rough Set

2011 ◽  
Vol 30 (8) ◽  
pp. 1913-1917 ◽  
Author(s):  
Dong-bo Zhang ◽  
Yao-nan Wang ◽  
Hui-xian Huang
Keyword(s):  
Neural Network ◽  
Rough Set ◽  
Variable Precision ◽  
Variable Precision Rough Set
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