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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volume 330)
• Pages: 350-356
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.330.350
• Online since: June 2013
• Authors: Jing Jing Wu, Qi Chang Li, Guang Long Wang, Feng Qi Gao, Zhong Tao Qiao
• Keywords: ARMA Model, Condition Monitor, Short-Time Prediction, Time Series Analysis, Vehicle Predictive Rate

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