针对普速铁路线路设备传统修理模式存在的滞后性高、成本大等问题,设计并实现了普速铁路线路设备故障预测与健康管理(PHM,Prognostics and Health Management)系统。文章利用数据中台、大数据等技术融合分析普速铁路线路钢轨、道岔、有...针对普速铁路线路设备传统修理模式存在的滞后性高、成本大等问题,设计并实现了普速铁路线路设备故障预测与健康管理(PHM,Prognostics and Health Management)系统。文章利用数据中台、大数据等技术融合分析普速铁路线路钢轨、道岔、有砟道床等设备多源全生命周期业务数据,并引入钢轨磨耗预测、道床劣化分析、捣固效果评估等模型,实现了普速铁路线路设备的全生命周期管理和质量状态评估。应用结果表明,该系统打破了各系统间的数据孤岛,实现了数据共享和协同工作可为普速铁路向“预测修”转型提供有力的技术支撑。展开更多
Integrating prognostics and health management(PHM)with the existing maintenance support system of systems plays an important role in implementing reliability-centered maintenance(RCM).However,the increasing complexity...Integrating prognostics and health management(PHM)with the existing maintenance support system of systems plays an important role in implementing reliability-centered maintenance(RCM).However,the increasing complexity and integration of civil aircraft systems pose challenges for conventional document-based systems engineering(DBSE)practice.Aiming at the specific problems of poor modeling degree,weak traceability between problem and solution domains,and insufficient integration in civil aircraft PHM development,a model-based systems engineering(MBSE)approach is adopted to overcome the limitations of DBSE method.This paper proposes a structured integrated modeling method to facilitate PHM functional integration with other aircraft systems.An MBSE modeling method based on traceable requirements,functional,logical,and physical models,is applied in the integration process.Additionally,a multi-viewpoint analysis method within the Department of Defense Architecture Framework(Do DAF)is introduced to illustrate the modeling elements and processes from a multidimensional perspective.The modeling logic and architecture are subsequently presented,followed by examples of requirements,functional flows,and resource flows models using the systems modeling language(Sys ML).Finally,a preliminary logic simulation verification is conducted as a case study of typical PHM functional integration with maintenance support.The case study results demonstrate that the proposed method enhances information traceability and consistency,which can offer theoretical support and technical reference for the development of maintenance support system.展开更多
故障预测与健康管理(prognostics and health management,PHM)技术应用于动车组关键部件监控以来,在保证动车组运行安全、指导动车组检修等方面起到了重要作用。PHM系统根据动车组技术发展、现场应用实际,其功能、模型也在不断优化中。...故障预测与健康管理(prognostics and health management,PHM)技术应用于动车组关键部件监控以来,在保证动车组运行安全、指导动车组检修等方面起到了重要作用。PHM系统根据动车组技术发展、现场应用实际,其功能、模型也在不断优化中。结合某动车段现场应用实际及需求,对基于动车组PHM技术的健康监测及专家支持系统进行功能优化。通过优化动车组空调、变压器、变流器、牵引电机等关键部件预警预测模型阈值,增加模型逻辑展示、一键生成用户要求格式的故障信息、动车组部件全景展示等功能,实现个性化定制预警预测模型、快速传递故障信息、动车组部件可视化辅助应急指导等一系列智能化监控,达到故障超前预判、提升快速响应能力,降低动车组故障率,减少对行车秩序影响的目的。展开更多
摘要针对普速铁路线路设备传统修理模式存在的滞后性高、成本大等问题,设计并实现了普速铁路线路设备故障预测与健康管理(PHM,Prognostics and Health Management)系统。文章利用数据中台、大数据等技术融合分析普速铁路线路钢轨、道岔、有砟道床等设备多源全生命周期业务数据,并引入钢轨磨耗预测、道床劣化分析、捣固效果评估等模型,实现了普速铁路线路设备的全生命周期管理和质量状态评估。应用结果表明,该系统打破了各系统间的数据孤岛,实现了数据共享和协同工作可为普速铁路向“预测修”转型提供有力的技术支撑。
基金supported by the National Natural Science Foundation of China(52372433)the Key Research and Development Projects of Shaanxi Province(2024QYZGJHX-01)。
摘要Integrating prognostics and health management(PHM)with the existing maintenance support system of systems plays an important role in implementing reliability-centered maintenance(RCM).However,the increasing complexity and integration of civil aircraft systems pose challenges for conventional document-based systems engineering(DBSE)practice.Aiming at the specific problems of poor modeling degree,weak traceability between problem and solution domains,and insufficient integration in civil aircraft PHM development,a model-based systems engineering(MBSE)approach is adopted to overcome the limitations of DBSE method.This paper proposes a structured integrated modeling method to facilitate PHM functional integration with other aircraft systems.An MBSE modeling method based on traceable requirements,functional,logical,and physical models,is applied in the integration process.Additionally,a multi-viewpoint analysis method within the Department of Defense Architecture Framework(Do DAF)is introduced to illustrate the modeling elements and processes from a multidimensional perspective.The modeling logic and architecture are subsequently presented,followed by examples of requirements,functional flows,and resource flows models using the systems modeling language(Sys ML).Finally,a preliminary logic simulation verification is conducted as a case study of typical PHM functional integration with maintenance support.The case study results demonstrate that the proposed method enhances information traceability and consistency,which can offer theoretical support and technical reference for the development of maintenance support system.
摘要故障预测与健康管理(prognostics and health management,PHM)技术应用于动车组关键部件监控以来,在保证动车组运行安全、指导动车组检修等方面起到了重要作用。PHM系统根据动车组技术发展、现场应用实际,其功能、模型也在不断优化中。结合某动车段现场应用实际及需求,对基于动车组PHM技术的健康监测及专家支持系统进行功能优化。通过优化动车组空调、变压器、变流器、牵引电机等关键部件预警预测模型阈值,增加模型逻辑展示、一键生成用户要求格式的故障信息、动车组部件全景展示等功能,实现个性化定制预警预测模型、快速传递故障信息、动车组部件可视化辅助应急指导等一系列智能化监控,达到故障超前预判、提升快速响应能力,降低动车组故障率,减少对行车秩序影响的目的。