Equipment Performance Degradation Modeling For Reliability Prediction Based on n-ARIMA model

摘要：

Performance degradation model has become a critical issue for lifetime reliability research. A novel n-ARIMA-based equipment performance degradation model method was proposed in this paper. First of all, a general performance degradation process was analyzed in detail. Then a non-stationary Auto-Regression Integrated Moving Average model was adopted to set up the equipment performance degradation model, and an equation to calculate the performance degradation level was also built. Finally, a validation experiment was implemented on OTM650 milling machine. It has been indicated from the experiment that the performance degradation model built in this paper may accurately describe the characteristics of the equipment performance degradation against time.

关键词： Performance degradation Time series Reliability prediction Non-stationary data

作者: Wu Jun Deng Chao Xiong Huan Xiong Yao

作者单位: School of Naval Architecture and Ocean Engineering, Huazhong University of Science andTechnology, Wu School of Mechanical Science and Engineering, Huazhong University of Science andTechnology, Wuhan 43 School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 4

会议类型: 国际会议

会议名称: 第三届产品开发与可靠性进展国际会议

会议地点: 武汉

会议语种:英文

页码: 24-31

在线出版日期: 2012-07-29（万方平台首次上网日期，不代表论文的发表时间）