动车组全生命周期服役性能保障技术研究

摘要：

我国动车组呈现数量多、运量大、分布地域广、服役环境复杂、网络化等综合特征，给运营安全保障带来严峻挑战，如何保障车辆安全运营，及时发现并处理潜在的异常风险，提升动车组全生命周期服役质量保障、质量追溯能力，保障列车的安全性和稳定性变得异常重要。因此本文开展动车组全生命周期服役性能保障技术研究。针对列车实时状态监测，提出了分级协同的健康管理技术架构，搭建了高实时大带宽列车感知网络。针对列车走行部关键部件监测，提出了基于TRIZ理论的走行部健康监测方案，并通过台架试验、可靠性分析等方法，提出走行部关键部件失效模式，研发故障预警模型。针对一体化协同运维，构建了基于互联网的主动化运维平台和一车一档，实现全生命周期的质量追溯，保障列车安全运营。

Abstract:

China’s electric multiple units (EMUs) are characterized by a large number, large traffic volume, wide distribution, complex service environment, networking and other comprehensive characteristics, which bring serious challenges to the guarantee of operational security. How to ensure the vehicle safety operation, timely discover and deal with potential abnormal risks, improve the lifecycle service quality assurance and quality traceability of EMUs, and ensure the safety and stability of EMUs has become extremely important. Therefore, this paper focuses on the research on the lifecycle service performance guarantee technology of EMUs. For real-time train status monitoring, a hierarchical collaborative health management technology architecture is proposed, and a high real-time and large bandwidth train perception network is built. For the monitoring of key components of the train running gear, a health monitoring scheme based on TRIZ theory is proposed. Meanwhile, through bench testing, reliability analysis and other methods, failure modes of key components of the running gear are proposed, and a fault warning model is developed. For integrated collaborative operation and maintenance, an internet-based proactive operation and maintenance platform and one vehicle one document system is constructed to achieve quality traceability throughout the entire lifecycle and ensure safe operation.

作者简介：董威，高级工程师，主任设计师，研究方向为列车智能化、列车故障预测及健康管理。