计算机集成制造系统 ›› 2013, Vol. 19 ›› Issue (07 ): 1715-1720.

• 产品创新开发技术 • 上一篇    下一篇

面向MRO的民航发动机拆发日期预测系统

雷达,钟诗胜   

  1. 哈尔滨工业大学机电工程学院
  • 出版日期:2013-07-31 发布日期:2013-07-31
  • 基金资助:
    国家863计划资助项目(2012AA040911)。

MRO oriented civil aircraft engine removal date prediction system

  • Online:2013-07-31 Published:2013-07-31
  • Supported by:
    Project supported by the High-Tech.R&D Program,China(No.2012AA040911).

摘要: 针对民航发动机维护、维修和大修的业务需求,开发了民航发动机拆发日期预测系统。系统可以根据影响民航发动机使用的性能、故障和时限三类因素,对在翼民航发动机进行拆发日期预测。考虑到故障因素中的硬件损伤数据样本偏少,提出损伤基线的概念,并建立了基于线性退化轨道的硬件损伤发展模型,实现了基于硬件损伤故障的发动机拆发日期预测。该系统应用于中国国际航空股份有限公司(国航),并且通过接口与其现有的发动机健康管理和维修决策支持系统实现无缝集成,成为其子系统。系统从母系统中获得支撑数据并将预测结果提供给母系统,作为维修计划制定模块的支撑数据,从而使发动机状态监测、拆发日期预测和维修决策成为一个完整的流程,可以满足国航的发动机维护、维修和大修业务需求。

关键词: 维护、维修和大修, 民航发动机, 拆发日期, 线性退化轨道, 预测系统

Abstract: Aiming at the business requirements of Maintenance,Repair and Operations (MRO) for civil aircraft engine,a software system for engine removal date prediction was developed.The system predicted the removal date of the on-wing engines according to three types of factors affecting the service of the aircraft engine,which were performance,fault and time limit.The concept of damage baseline was proposed by considering the factors that the major fault of the aircraft core engine was always limited,and a damage propagation model based on linear degradation path was established to realize the removal date prediction based on hardware damage fault.This system was currently in service in Air China Limited,and was seamlessly integrated with the existing engine health management and maintenance decision support system via interfaces as a subsystem.The developed system obtained support data from its parent system and provided the prediction results for its parent system as support data.Thus an integrated process was formed including the engine condition monitoring process,the removal date prediction process and the maintenance decision-making process,which satisfied the MRO requirements of Air China Limited.

Key words: maintance,repaire and operations, civil aircraft engine, removal date, linear degradation path, prediction system

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