Research on Life Prediction of Train Control Center Based on Random and Fuzzy Theory

The health state assessment and remaining life prediction of Train Control Center (TCC) is an important premise to carry out state repair of equipment, which can effectively protect the safe operation of the system. The paper aims to assess the health state of the equipment by adopting the health index model of TCC based on fuzzy comprehensive evaluation. As to various uncertain factors the TCC has such as the operating environment, the quality of the equipment and maintenance, the life prediction model of TCC is established based on the evaluative result, namely health index HI. Further variation that the equipment health index changes with time is established to realize the life prediction of TCC. The example shows that the life of TCC can be predicted effectively by means of the health state assessment for the equipment. The railway department can obtain the corresponding data, which can provide the basis of the maintenance and update for the equipment.