PHM知识工程与数据建模  

PHM Knowledge Engineering and Data Modeling

作　　者：吕镇邦[1,2] 孙倩 李鹏[1] LYU Zhen-bang;SUN Qian;LI Peng(Xi′an Aeronautics Computing Technique Research Institute,AVIC,Xi′an 710068,China;Xi′an Kaixiang Computer Software Co.,Ltd.,Xi′an 710068,China)

机构地区：[1]航空工业西安航空计算技术研究所,陕西西安710068 [2]西安凯翔计算机软件有限责任公司,陕西西安710068

出　　处：《航空计算技术》2021年第1期125-129,共5页Aeronautical Computing Technique

基　　金：装发重点基金项目资助(41403020102)。

摘　　要：知识工程和数据建模是PHM系统研制中的核心内容,PHM系统唯有借助大量的可信数据模型和各种高效智能算法才能真正发挥作用。在界定PHM知识领域及知识工程范畴的基础上,介绍了PHM知识获取途径和PHM知识工程的一般工作流程,针对PHM机载应用和地面应用的不同需求和约束特点,分别阐述了基于系统分析的显性知识模型和基于数据驱动的隐性知识模型这两种典型数据建模方法和相关辅助工具,并简要介绍了PHM数据模型的验证方法和PHM知识的熟化过程管理,形成了一套较为完整的PHM知识工程与数据建模技术方案。Knowledge engineering and data modeling are the core issues in the development of PHM system.Only by virtue of a large number of trusted data models and various efficient and intelligent algorithms can PHM system play a real role.Based on defining the scope of PHM knowledge domain,the knowledge acquisition approach and the general working process of PHM knowledge engineering are introduced.Furthermore,according to different requirements and constrains of onboard and ground applications,the data modeling methods and relevant auxiliary tools of the explicit knowledge model based on system analysis and the implicit knowledge model based on data driven are expounded respectively.Finally,the verification approach and the maturation process management of PHM knowledge are briefly given,formed a relatively complete technical scheme of PHM knowledge engineering and data modeling.

关 键 词：故障预测与健康管理(PHM) 知识工程 PHM数据建模 知识获取 数据驱动 

分 类 号：V37[航空宇航科学与技术—航空宇航推进理论与工程]