The New Vehicle Condition Monitoring Indicator VPR and Its Short-Time Prediction ARMA Model

摘要：

　　The vehicle storage & transportation condition monitoring system focuses on the real time acquisition and processing analyses of life cycle environmental temperature and humidity,shock and vibration stress and the attitude and position information of Vehicle,it is the effective supplement of vehicle equipment maintenance and management.Based on the vehicle storage state information defining a new index early warning rate vehicle predictive rate (VPR),and establish the ARMA forecasting model.The experimental results show that the model can slow the short-term trend fast track prediction to the small capacity samples of the VPR,and that about 12% of high precision.Prediction results help to establish the vehicle equipment maintenance quality management plans for the vehicles those in complex difference transportation environment,and their performance status is not the same.

关键词： Condition monitor Vehicle predictive rate Time series analysis ARMA model Short-Time prediction

作者: Jingjing WU Qichang LI Guanglong WANG Fengqi GAO Zhongtao QIAO

作者单位: Department of Basis, College of Mechanical Engineering, Shijiazhuang, China Nanotechnology and Microsystem Lab, College of Mechanical Engineering, Shijiazhuang, China

会议类型: 国际会议

会议名称: 2nd International Conference on Materials Engineering and Automatic Control (第二届材料工程与自动化控制国际会议)(ICMEAC2013)

会议地点: 济南

会议语种:英文

页码: 350-356

在线出版日期: 2013-05-18（万方平台首次上网日期，不代表论文的发表时间）