Gearbox Feature Extraction and Fault Diagnosis Based on Blind Source Separation

摘要：

In this paper, SOBI blind source separation algorithm is applying to extract the fault feature of gearbox vibration signal. It is Tested and verified by BP neural network for fault diagnosis. The result shows that the fault feature extraction method based on blind source separation for gearbox fault diagnosis is very effective.

关键词： blind source separation feature extraction fault diagnosis SOBI algorithm gearbox

作者: Huang Jinying Liu Lijun Pan Hongxia Cui Baozhen

作者单位: School of Machnical Engineering& AutomationNorth University of ChinaTaiyuan,Shanxi,China School of Machnical Engineering& Automation North University of China Taiyuan,Shanxi,China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）