| ID | 原文 | 译文 |
| 5854 | 在分析复杂航天多阶段任务系统特征和应用传统可靠性分析技术存在的主要问题基础上,简要介绍了概率风险评价(probabilistic risk assessment,PRA)技术,详细说明了PRA综合建模、分析评估和结果分析过程。 | The analysis of characteristics of complex multi-stage missions for system and application based on the main problems of the traditional reliability analysis technology, this paper briefly introduces the probabilistic risk assessment (probabilistic risk assessment, PRA) technology, details the PRA integrated modeling, analysis, evaluation and the result analysis. |
| 5855 | 以某型月球探测器移动分系统为例,进行了PRA技术的工程应用。 | In a lunar probe type of mobile system as an example, the PRA technology engineering application. |
| 5856 | 应用结果表明,PRA技术具有良好的工程适用性,在得到任务可靠性分析结果的同时,能够通过风险重要度排序确定可靠性薄弱环节,支持工程进行针对性的设计改进。 | Application results show that PRA technology has good engineering applicability, at the same time of mission reliability analysis results, the reliability can be determined through risk importance sorting weak links, and to give you support engineering design improvements. |
| 5857 | 针对非合作条件下的无人机自主防相撞控制问题,在分析无人机与入侵飞机在三维空间几何关系的基础上,提出并证明了相撞冲突判决准则,定义最小间隔和剩余冲突消解时间衡量无人机与多入侵飞行器间的冲突紧急程度,建立了无人机自主防撞最优控制模型。 | For the cooperation under the condition of uav autonomous collision prevention control problem, based on the analysis of unmanned aerial vehicle (uav) and invasion of the plane in three-dimensional space geometry relationship, on the basis of judgment criterion, puts forward and proves that the collision conflict define the minimum interval and the rest of the conflict resolution time measure of unmanned aerial vehicle (uav) and invasion of conflicts between aircraft emergency degree, the uav autonomous collision avoidance optimal control model is established. |
| 5858 | 基于非线性模型预测控制方法建立三维空间无人机自主防撞控制算法,运用剪枝搜索方法提高算法求解时效性。 | Based on the nonlinear model predictive control method to establish three-dimensional uavs autonomous collision avoidance control algorithm, using pruning the search method to improve algorithm timeliness. |
| 5859 | 仿真实验表明,所提算法实现多无人机高动态环境下的防撞控制,能够有效降低无人机飞行安全威胁。 | The simulation results show that the proposed algorithm more collision control of unmanned aerial vehicle (uav) in high dynamic environment, can effectively reduce the unmanned aerial vehicle (uav) flight safety threat. |
| 5860 | 针对雷达自动目标识别中的高分辨距离像(high resolution range profile,HRRP)识别问题,提出自适应进化粒子群(adaptive evolution particle swarm optimization,AEPSO)算法优化支持向量机(support vector machine,SVM)的目标分类识别方法。 | As for the high resolution radar automatic target recognition distance (high resolution range profile, HRRP) identify the problem and put forward the adaptive evolutionary particle swarm (the adaptive evolution particle swarm optimization, AEPSO) algorithm optimization support vector machine (SVM) (support vector machine, SVM) target classification recognition method. |
| 5861 | 该算法利用非线性自适应惯性权重的调整以适应粒子寻优的非线性变化过程,采用分阶段调节加速因子增强粒子在进化过程中的学习能力,通过引入局部搜索算子在增加粒子多样性的同时有效避免了粒子陷入局部最优陷阱。 | The algorithm using nonlinear adaptive inertia weight adjustment to the particle optimization of nonlinear process, and adopts phase adjusting speed factor to enhance learning ability of particles in the course of evolution, with the introduction of local search operator in as well as increase the particles diversity effectively avoids the trap particles trapped in local optimum. |
| 5862 | 通过改进的PSO算法优化SVM参数,建立分类识别器模型。 | The SVM parameters were optimized by the improved PSO algorithm classification recognizer model is set up. |
| 5863 | 将该AEPSO-SVM模型应用到雷达HRRP目标识别中,实验结果表明,该算法对于高分辨雷达目标识别精度高、鲁棒性强。 | Will the AEPSO - the SVM model is applied to the radar HRRP target recognition, the experimental results show that the algorithm for high resolution radar target recognition with high precision, strong robustness. |