Fault diagnosis for spherical roller bearing using discrete wavelet transform and support vector machine

摘要：

This paper presents a combined discrete wavelet transform (DWT) and supportvector machine (SVM) technique for fault diagnosis of spherical roller bearing application in high performance hydraulic injection molding machine.The proposed technique consists of preprocessing the fault vibration signal samples using discrete wavelet transform at the fourth level of decomposition of fault vibration signal for fault classification.After feature extraction from fault vibration signal,support vector machine is used for decision of fault types of the spherical roller bearing.The classification results indicate the effectiveness of the combined DWT and SVM based technique for fault diagnosis.

关键词： Discrete wavelet transform support vector machine fault diagnosis spherical roller bearing hydraulic injection molding machine

作者: Xian Guangming Zeng Biqing

作者单位: Computer Engineering Department of Nanhai Campus, South China Normal University, Guangdong Foshan,China, 528225

会议类型: 国内会议

会议名称: 第六届智能CAD与数字娱乐学术会议

会议地点: 山东泰安

会议语种:英文

页码: 558-561

在线出版日期: 2009-08-15（万方平台首次上网日期，不代表论文的发表时间）