Development of Integrated Prognostics: An Application to Hybrid Ceramic Bearing Life Prediction

摘要：

In this paper, an integrated prognostics methodology with an application to hybrid ceramic bearing life prediction is presented. When vibration analysis and grease debris analysis are used independently, only 30-40％ of faults can be diagnosed. The presented methodology takes particle filtering as an intelligent framework to combine vibration analysis with grease debris analysis. One important advantage of using particle filtering framework is that it allows the information from different measurement sources to be fused in a rigorous way. When grease debris and vibration analysis are integrated within one framework, the trending of the fault features can be improved significantly. That enhances the machine condition monitoring performance and makes remaining useful life prediction more reliable. The developed methodology is illustrated with real and simulated run-to-failure test data on hybrid ceramic bearings.

关键词： integrated prognostics methodology particle filtering intelligent sensor fusion

作者: Jinghua Ma David He

作者单位: Department of Mechanical & Industrial Engineering The University of Illinois at Chicago 842 West Taylor Street, Chicago, Illinois 60607

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 10-13

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）