基于故障树的某型无人机助推器分离异常故障诊断方法  

Fault analysis of booster separation and improvement for a certain type of UAV Based on the fault tree model

作　　者：付凡[1] 孙英超 黄海龙 王再玉 

机构地区：[1]空军驻江西地区军事代表室,江西南昌330024 [2]中国航空工业洪都,江西南昌330024

出　　处：《教练机》2017年第1期56-59,共4页Trainer

摘　　要：由于故障树的各节点之间有很强的逻辑和层次关系,因而由故障树生成的诊断模式具有很强的条理性和针对性,本文简述了故障树建模方法和故障处理步骤,并通过某型无人机助推器故障诊断实例得到了验证,该方法可适用于目前大多数飞行器故障分析。Due to the close logical and hierarchical relationship between the incentives of each node in the fault tree, the diagnostic patterns generated by the fault tree are well organized and targeted. This paper describes the modeling method and fault disposal process for the fault tree. This method is verified by a fault tree example which the rocket booster doesn＇t separate from UAV. The result indicates that the method is efficient, reliable, and suitable for most existing faults of UAV.

关 键 词：故障树 助推器分离 动力学仿真 

分 类 号：V267[航空宇航科学与技术—航空宇航制造工程]