Study fault diagnosis of gear based on the fusion model
Liying Sun · Journal of Hebei University of Technology · 2011
For fault diagnosis of gear,this paper presented the fusion method based on multi-scale wavelet energy spectrum,expanded neighborhood rough set and multi-classifier SVM.Firstly,multi-scale wavelet transform was used to effectively extracted failure feature in variable work conditions.Secondly,without prior knowledge and theoretical formula,extended neighborhood rough set based on generalized euclidean distance was used to remove noise and distribute weight of every energy band.Then with better classification ability in small sample and non-linear space,SVM was used to improve the decision accuracy of fault diagnosis.Finally,the fusion model was applied to fault diagnosis of gear pair to verify its effectiveness.