To address the problems of dynamic failure and different services in the reliability analysis of an LTEM (Long Term Evolution for Machines) trainground radio communication system, this study evaluated the reliability of an LTEM trainground radio communication system based on a dynamic Bayesian network (DBN). First, the reliability block diagram, which was constructed by analyzing the LTEM system structure and function, was transformed into a DBN, and the DBN structure and parameter modeling were conducted. Subsequently, the reliability of the LTEM system was obtained and compared based on the forward inference of the DBN. Finally, based on the backward inference of the DBN, the weaknesses of the LTEM system were recognized as a reference for operation and maintenance. The results indicate that while the LTEM system is highly reliable, the building baseband unit and train access unit are vulnerabilities that require attention.

rail transit  /  lte-m train-ground radio communication system  /  reliability evaluation  /  dynamic Bayesian network