基于故障预测与健康管理的动车组智能运维技术
Intelligent O&M Technology of EMUs Based on Prognostics and Health Management
张惟皎1
作者信息
- 1. 中国铁道科学研究院集团有限公司电子计算技术研究所,北京 100081;国家铁路智能运输系统工程技术研究中心,北京 100081
- 折叠
摘要
动车组故障预测与健康管理(PHM)技术是构建动车组精准化运用维修体系的关键环节,对完善动车组全生命周期管理、推进动车组造修水平提升具有十分重要的意义.通过对动车组运维需求分析,提出了基于PHM技术的动车组智能运维目标,以及包含状态监测、故障预测、健康评估、决策支持和运维分析等功能的系统设计架构;构建了基于PHM的动车组智能运维规范体系.对动车组全生命周期数据分析、PHM模型构建、高频流式计算方法、异构模型统一管理、PHM驱动的运维生产组织等技术展开研究.基于PHM的智能运维系统在全路获得了应用,实现了监测、决策与执行全流程信息流通.
Abstract
Prognostics and Health Management(PHM)technology is a critical component in establishing a precision-based O&M system for EMUs.This technology is essential for enhancing lifecycle management and advancing manufacturing and repair processes of EMUs.Through the analysis on O&M requirements of EMUs,this paper proposes the intelligent O&M objectives of EMUs based on PHM technology,as well as the system design architecture incorporating functions such as condition monitoring,fault prediction,health assessment,decision support and O&M analysis;and constructs a PHM-based standardized system for intelligent O&M of EMUs.The study also explores aspects such as the data lifecycle of EMUs,the development of PHM models,high-frequency streaming computation methods,unified management of heterogeneous models,and PHM-driven O&M production organization technologies.The PHM-based intelligent O&M system has been implemented across the railway network,achieving seamless information flow throughout the entire process of monitoring,decision-making and execution.
关键词
智能高铁/高铁动车组/PHM/总体架构/规范体系/流式计算Key words
intelligent HSR/HSR EMU/PHM/overall architecture/standardized system/streaming computation引用本文复制引用
基金项目
动车组PHM平台化关键技术及模型研究(2021YJ020)
出版年
2024
NETL
NSTL
万方数据