ID 原文 译文
54887 现有测试性验证试验方案一般都需要较大的故障样本量,利用装备研制阶段的测试性数据则可能有效解决这一问题。 Existing testability verification experiment scheme typically require larger fault sample, using the equipment development stage of the test data may be effective to solve this problem.
54888 但研制阶段的测试性数据和现场试验数据一样属于"小子样"且具有"变总体"特点,为此提出一种基于Bayes理论的测试性验证方法。 But the development phase of the test data and the field test data belongs to "small sample" and it was characterized by "growing overall", therefore put forward a kind of testability verification method based on the Bayes theory.
54889 首先根据装备研制各阶段积累的测试性试验信息构建装备测试性参数故障检测/隔离率(fault detection rate/fault isolation rate,FDR/FIR)的动态增长模型,用以揭示装备测试性水平的动态变化规律,并对其测试性指标进行预测。 First based on testability test equipment development in different stages of the information construction of equipment fault detection/isolation rate of testability parameters (fault detection rate and fault isolation rate, FDR/FIR) dynamic growth model, in order to reveal the dynamic change law of equipment testability level and the testability index.
54890 然后根据最大熵原理计算系统FDR/FIR的先验分布。 Then according to the principle of maximum entropy calculation system FDR/FIR prior distribution.
54891 最后结合少量现场试验数据,根据Bayes最大验后风险准则制定装备测试性验证方案,对装备测试性指标进行验证。 Finally, combined with a small amount of field test data, according to Bayes theorem maximum posteriori risk criteria set equipment testability verification scheme, to verify this equipment testability index.
54892 通过实例对比分析表明,该方法有效融合了研制阶段数据与现场试验数据,能在小样本的情况下提高验证结论的置信度,降低评估风险。 Through the example analysis shows that the method effectively combines the development stage and field test data, can be enhanced in the case of small sample test conclusion confidence, reduce the risk assessment.
54893 多无人机(unmanned aerial vehicle,UAV)协同搜索是多UAV协同一个重要研究方向。 UAV (unmanned aerial vehicle, UAV) cooperative search is the coordination of multiple UAV is an important research direction.
54894 随着战场环境的复杂化,UAV对动态时敏目标的搜索显得尤为重要。 With complicated battlefield environment, the UAV to dynamic sensitive target search is particularly important.
54895 针对动态时敏目标的运动特性,首先建立动态时敏目标的运动预测模型,为了降低由于目标运动造成的不确定性以及优化UAV的搜索性能,在采用贝叶斯理论对目标存在概率进行更新的基础上,研究了一种基于高斯分布的目标转移概率密度,通过计算得到动态时敏目标的存在预测概率,然后合理建立UAV协同搜索的性能指标函数,在分布式模型预测控制框架下,将多UAV集中式在线优化问题转化为各架UAV的分布式在线优化问题,最后对性能指标函数进行优化求解。 For dynamic susceptibility of target movement characteristics, the first sensitive target movement during dynamic prediction model is established, in order to reduce the uncertainty caused by target motion and optimize the search performance of UAV, the update target exists probability by using bayesian theory, on the basis of the study a target transfer probability density, based on gaussian distribution is obtained by computing the existence of dynamic susceptibility target prediction probability, and then reasonable to establish a UAV collaborative search performance index function, in a distributed model predictive control framework, the UAV more centralized online optimization problem can be converted to UAV distributed online optimization problems, finally optimize the performance index function for solving.
54896 通过仿真验证了所提方法的有效性。 The effectiveness of the proposed method is verified by simulation.