• CN：11-2187/TH
• ISSN：0577-6686

›› 2006, Vol. 42 ›› Issue (9): 76-82.

• 论文 •

### 基于核函数估计的转子故障诊断方法

1. 华南理工大学汽车工程学院;华中科技大学机械工程学院
• 发布日期:2006-09-15

### ROTOR FAULT DIAGNOSIS METHOD BASED ON KERNEL FUNCTION APPROXIMATION

LI Weihua;SHI Tielin;YANG Shuzi

1. School of Automotive Engineering, South China University of Technology School of Mechanical Science and Engineering, Huazhong University of Science and Technology
• Published:2006-09-15

Abstract: Kernel function approximation is investigated together with some applications in mechanical fault diagnosis, and an approach to rotor fault classification based on feature samples selection is presented. The integral operator kernel functions is used to realize the nonlinear map from the raw feature space of rotor vibration signals to high dimensional feature space, where appropriate feature samples are selected to classify three kinds of rotor faults：rotor crack, rotor unbalance and rotor rub. The quantity of selected samples is much less than that of whole sample sets, which has quickly expedited the computation process. The classification result of KFA is compared with that of SVM. It can be seen that the classification accuracy of KFA is fairly as well as that of SVM, and KFA is or even better than SVM in terms of computation load.