Spare Part Demand Forecasting Based on Variable Message Signboard Fault Statistical Analysis

摘要

This paper identifies the main factors that influence the reliability of the variable message signboard (VMS) are driver board, power supply, and control board through the multi-aspect analysis of the VMS historical fault data. A different factor prediction model is obtained based on fault factors changing with the time. The validation example shows that the accuracy of the model is over 80%. It provides a superior data support and experience reference for VMS fault detection and spare parts which could improve the work efficiency of maintenance personnel.