无人侦察机系统研发阶段的效能评估PBS-ADC模型

PBS-ADC model for effectiveness evaluation in the development phase of unmanned reconnaissance aircraft

为克服研发阶段无人侦察机系统的效能评估缺少装备整体试验和运行数据带来的构造ADC模型指标可用度、可信度困难问题,以经典ADC模型为基础,结合产品分解结构(product breakdown structure,PBS),提出PBS-ADC模型。既适用于装备使用期间,也适用于装备研发期间的效能评估。将无人侦察机系统分解到子系统层级,利用Q-过程理论计算出ADC模型中的指标可用度A、可信度D,同时应用搜索理论和全概率公式计算出系统能力C,结合A、D、C变量算法给出了无人侦察机系统效能动态关系式,实现了无人侦察机系统研发阶段效能评估,为无人侦察机系统的参数设计等问题提供了依据。

Based on the classic ADC model and the product breakdown structure (PBS), the PBS-ADC model is proposed to overcome the difficulty of constructing index availability and reliability of the ADC model caused by the shortage of overall test and operation data of equipment in the effectiveness evaluation of unmanned reconnaissance aircraft development. The proposed model is applied in the effectiveness evaluation both for in-use equipment and equipment being developed. The unmanned reconnaissance aircraft is decomposed into the single product system level, and the Q-process theory is employed to accurately calculate the variables A and D in the ADC model. Meanwhile, the search theory and the full probability formula are used to calculate the system capability C . The dynamic relation of the performance of the unmanned reconnaissance aircraft is given with the particular A, D, C variable algorithm, and the effectiveness evaluation of its development phase is realized. Hence, this paper provides the basis for the parameter design of the unmanned reconnaissance aircraft.