Fault diagnosis of bearing based on Support Vector Machine

In this paper, the feasibility and flexibility of Support Vector Machine which apply to fault diagnosis of bearing have been studied, and a concrete fault diagnosis method is presented. It is combined multi-class arithmetic which adopts decision directed acyclic graph with wavelet packet furthermore, this study conducted with example. Finally, the new method compared with traditional mode identifying methods. And it has been offered for fault diagnosis.