Weibull Distribution Parameters for Fault Feature Extraction of Rolling Bearing

摘要：

A novel approach to fault feature extraction using Weibull distribution parameters is proposed. After the original signal of bearing vibration is modeled as the Weibull distribution, its scale parameter is extracted as a new feature vector for the bearing running state. The tests results of fault diagnosis of the rolling bearing verify that this new feature can catch the regularity of changes in the information of bearing vibration more sensitively and accurately, and have higher separability suitable for pattern recognition by support vector machine classifier.

关键词： Weibull Distribution Scale Parameter Feature Extraction Fault Diagnosis Rolling Bearing

作者: PENG Tao JIANG Haiyan XIE Yong

作者单位: School of Information Science and Engineering, Changsha, 410083 China;College of Automatic Control, College of Electrical Engineering, Hunan University of Technology, Zhuzhou, 412008 China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 69-74

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）