CR400BF平台动车组故障预警预测研究

Study on Fault Warning and Prediction of CR400BF Platform EMU

根据动车组运维现场实际需求,基于动车组状态参数监控标准、车载报故障逻辑,以及现场重点故障特征等信息,建立故障预警预测模型,制定预警预测故障代码及故障处置建议措施。依托动车组故障预测与健康管理系统开展模型试用,验证了模型的可行性和适用性。通过开展CR400BF平台动车组故障预警预测研究,为动车组的远程监控提供了有力的技术支撑,有效降低了动车组的运行安全风险,保障了动车组的运行秩序。

According to the actual requirements of EMU operation and maintenance site,based on the EMU's remote temperature monitoring standards,the logic of on-board fault reporting,and the characteristics of key faults,fault warning and prediction models are established,fault codes and handling suggestions are formulated.Relying on the EMU fault prediction and health management system,the feasibility and applicability of the model are verified.The research on fault warning and prediction on CR400BF platform provides strong technical support for remote monitoring,effectively reduces the operation safety risk,and guarantees the running order of EMU.