摘要
固体火箭发动机的健康状态是导弹武器或运载系统任务成败的重要因素,故障诊断技术可提前预判发动机健康状态,预估其贮存寿命。根据发动机状态参数获取和故障诊断决策方式的不同,故障诊断技术可分为基于知识、基于机理模型和基于数据驱动三类。简述了基于检测技术和专家判断,即基于知识的发动机故障诊断技术现状;阐述了基于机理模型的发动机典型结构(推进剂药柱、复合材料壳体及其界面)健康监测技术现状,介绍了基于数据驱动和在线监测的发动机故障诊断技术现状;在评述当前发动机故障诊断技术特点的基础上,指出基于机理模型、基于数据驱动及其混合的故障诊断技术将是未来重要的发展趋势;最后展望了并重发展的贮存状态监检测技术和工作过程监检测技术,以及多种诊断方法优势互补的混合诊断技术、发动机健康状态自监测等重点技术发展方向。
As related to the success of the missile weapon or delivery system mission,the fault diagnosis technology is significant for health monitoring and service life assessment of solid rocket motor(SRM),which can be divided into knowledge-based,mechanism and model-based and data-driven methods based on the different state parameter acquisition technologies and decision-making methods.Status of SRM fault diagnosis based on detecting technology and expert judgment,namely the knowledge-based method,was briefly described.Progress on the health monitoring technology based on the mechanism and model for typical SRM structures(propellant grains,composite cases and their interfaces)was introduced.The status of fault diagnosis technology based on data-driven and on-line monitoring was reviewed.The characteristics of current fault diagnosis technologies were evaluated.It was further pointed out that fault diagnosis technologies based on mechanism and model,data-driven and their hybrid would be a major trend in future.Prospects for future key development directions,such as developing health monitoring technologies for the storage state and working process simultaneously,developing hybrid fault diagnosis technologies integrated with the advantages of multiple methods,health self-monitoring technology for SRM,were finally proposed.
作者
郭宇
申志彬
孙翔宇
李海阳
周伟勇
GUO Yu;SHEN Zhibin;SUN Xiangyu;LI Haiyang;ZHOU Weiyong(College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410073,China;Hunan Key Laboratory of Intelligent Planning and Simulation for Aerospace Missions,Changsha 410073,China;The 41st Institute of the Sixth Academy of CASIC,Hohhot 010010,China;The 96901 Army of the PLA,Beijing 100095,China)
出处
《固体火箭技术》
CAS
CSCD
北大核心
2022年第1期4-12,共9页
Journal of Solid Rocket Technology
关键词
固体火箭发动机
故障诊断
健康监检测
寿命预估
solid rocket motor
fault diagnosis
health monitoring
service life assessment
