Fault Feature Separation for Fault Diagnosis of Rotating Machinery Using ICA with Reference

摘要：

In practical situations, the vibration collected from rotating machinery is often a mixture of many vibration components and noise, therefore it is very necessary to extract fault features from the mixture first in order to achieve effective rotating machinery fault diagnosis. In this paper, independent component analysis with reference (ICA-R) method is proposed to extract the fault features using reference signals established based on the prior knowledge of machine faults, the effectiveness of the proposed approach is verified based on simulated fault signals of rotating machinery.

关键词： Fault diagnosis rotating machinery ICA with reference

作者: Gang Yu Xiaohua Liang Juan Wang

作者单位: School of Mechanical Engineering and Automation Harbin Institute of Technology (HIT) Shenzhen Graduate School Shenzhen, Guangdong 518055, P. R. China

会议类型: 国际会议

会议名称: 2011 9th International Conference on Reliability,Maintainability and Safety(第九届国际可靠性、维修性、安全性会议 ICRMS2011)

会议地点: 贵阳

会议语种:英文

页码: 1010-1014

在线出版日期: 2011-06-12（万方平台首次上网日期，不代表论文的发表时间）