Abstract:Aimed at the overlapping of the gearbox fault features and these features are difficult to distinguish, a fault diagnosis model based on local target space alignment and multi-kernel support vector machine for gearbox is proposed. In the vibration feature space constructed by time domain statistics and intrinsic mode energy value, the nonlinear multi-dimensionality reduction based on local target space alignment to get the initial low-dimensional manifold feature value is firstly executed, then the low-dimensional feature vector which have the fault characteristics are regarded as the input feature vector of the multi-kernel support vector machine for gearbox fault classification. Local target space alignment overcome the shortcoming of the traditional reduction method, multi-kernel support vector machine realized the high-precision, automated intelligent diagnosis for gearbox. The gearbox fault diagnosis experiment shows the effectiveness of this novel model.
陈法法;汤宝平;苏祖强. 基于局部切空间排列与MSVM的齿轮箱故障诊断[J]. , 2013, 32(5): 38-42.
CHEN Fa-fa;TANG Bao-ping;SONG Tao. Gearbox fault diagnosis based on local target space alignment and multi-kernel support vector machine. , 2013, 32(5): 38-42.