神经网络理论在微分对策中的应用

阐述了微分对策理论在实际应用中存在的问题,并从动态冲突的实际过程出发,将神经网络理论与分层式智能控制理论相结合,来模型化微分对策问题.将微分对策的双向优化问题转化成基于神经网络理论的目标机动性辨识和单向优化控制问题,将微分对策的定性与定量结合起来,为有效加入人的经验提供了一种技术途径.并采用自适应分布式学习速率,大大提高了神经网络的学习速度和精度.     

BP神经网络用于传感器故障诊断的仿真研究

在标准逆传播神经网络的基础上 ,提出了一种全新的改进逆传播神经网络 ,用来消除标准逆传播神经网络收敛速度慢和易陷入局部最小点的缺陷 ;并且设计了一个主神经网络和三个分布神经网络的结构 ,通过神经网络的在线学习 ,得到需要的参数估计。用它与传感器测得的实际值比较 ,可判断出故障 ,并且给出了仿真实例。     

基于人工智能方法的传感器故障诊断技术

在液体火箭发动机地面试验过程中,传感器的失效率远高于发动机部件、组件的故障率,因而提出了采用基于人工智能的方法对传感器的故障进行检测与诊断.本文对基于人工智能方法用于传感器故障检测与诊断的特点进行了分析,并分别应用BP神经网络和自适应神经模糊推理系统（ANFIS）对某次传感器的故障进行检测.结果证明基于人工智能的方法稳定可靠,具有良好的工程应用前景.     

智能化雷达对抗情报处理技术研究

随着雷达技术的迅猛发展,雷达信号的密度、复杂程度都大幅度提高,这就增加了雷达信号的不确定性因素。本文讨论了粗糙集理论、模糊集理论、证据理论和可能性理论等人工智能技术在雷达对抗情报处理中的应用。对雷达辐射源的型号和工作模式识别、雷达网信息以及所属平台信息的推理技术进行了探索研究,给出了研究建议。     

Advanced multiple response surface method of sensitivity analysis for turbine blisk reliability with multi-physics coupling

To reasonably implement the reliability analysis and describe the significance of influencing parameters for the multi-failure modes of turbine blisk, advanced multiple response surface method(AMRSM) was proposed for multi-failure mode sensitivity analysis for reliability. The mathematical model of AMRSM was established and the basic principle of multi-failure mode sensitivity analysis for reliability with AMRSM was given. The important parameters of turbine blisk failures are obtained by the multi-failure mode sensitivity analysis of turbine blisk. Through the reliability sensitivity analyses of multiple failure modes(deformation, stress and strain) with the proposed method considering fluid–thermal–solid interaction, it is shown that the comprehensive reliability of turbine blisk is 0.9931 when the allowable deformation, stress and strain are3.7*10~(-3)m, 1.0023*10~9 Pa and 1.05*10~(-2)m/m, respectively; the main impact factors of turbine blisk failure are gas velocity, gas temperature and rotational speed. As demonstrated in the comparison of methods(Monte Carlo(MC) method, traditional response surface method(RSM), multiple response surface method(MRSM) and AMRSM), the proposed AMRSM improves computational efficiency with acceptable computational accuracy. The efforts of this study provide the AMRSM with high precision and efficiency for multi-failure mode reliability analysis, and offer a useful insight for the reliability optimization design of multi-failure mode structure.     

Uncertain multiobjective redundancy allocation problem of repairable systems based on artificial bee colony algorithm

Based on the uncertainty theory, this paper is devoted to the redundancy allocation problem in repairable parallel-series systems with uncertain factors, where the failure rate, repair rate and other relative coefficients involved are considered as uncertain variables. The availability of the system and the corresponding designing cost are considered as two optimization objectives. A crisp multiobjective optimization formulation is presented on the basis of uncertainty theory to solve this resultant problem. For solving this problem efficiently, a new multiobjective artificial bee colony algorithm is proposed to search the Pareto efficient set, which introduces rank value and crowding distance in the greedy selection strategy, applies fast non-dominated sort procedure in the exploitation search and inserts tournament selection in the onlooker bee phase. It shows that the proposed algorithm outperforms NSGA-II greatly and can solve multiobjective redundancy allocation problem efficiently. Finally, a numerical example is provided to illustrate this approach.     

飞机故障排除专家辅助系统的设计与开发

简要介绍了飞机故障排除的专家辅助系统设计与开发,该系统以飞机专家在维护飞机过程中所积累的经验知识为例,结合故障隔离手册的内容,通过建立数据库的形式,依据人工智能的理论,使其具有查询功能,自动优选排故方法以及对故障内容的添加、修改、删除功能。     

液体火箭发动机涡轮泵故障诊断的新方法

针对传统的液体火箭发动机涡轮泵故障诊断方法只能在有样本数据并且样本数据充足的情况下才能进行准确诊断以及诊断时难以提取状态特征的缺点,提出一种适用于涡轮泵在线监测及诊断方法,该方法利用生物免疫系统的反面选择机理,利用生物克隆和学习机理使改进型反面选择算法产生的检测器具有不同的检测半径,使其能更有效地覆盖异常空间,能有效地提取涡轮泵的状态特征,避免了检测器产生效率低等问题。实例诊断结果表明:该方法较好地解决了故障样本难以获取及有效地提取涡轮泵的状态特征的问题,能准确监测出涡轮泵各种常见故障所引起的异常并能准确诊断,较高诊断精度表明该方法是可行的,并且具有较好的在线性、准确性及鲁棒性,为液体火箭发动机涡轮泵故障异常检测探索了一条新路。     

基于多处理机系统在超立方体上并行仿真BP神经网

摘 要 本文介绍了人工神经网络的基本实现途径，并对 Intel iPSC860／P超级计算机系统作了简介，给出了在超立方体上实现BP算法并进行并行仿真所得到的结论     

滑翔飞行器弹道规划与制导方法综述综述

滑翔飞行器以其突出的机动突防能力、高精度打击以及全球快速可达等优势成为当下航空航天领域研究热点。作为控制飞行器可靠执行既定飞行任务的核心部分,弹道规划与制导方法是关注的焦点。概述当前滑翔飞行器弹道规划与制导方法,尤其是基于标准剖面和基于预测校正思想的弹道规划与制导方法的研究现状。进一步,分析当下滑翔飞行器弹道规划与制导方法的研究热点与难点,并结合人工智能,对滑翔飞行器弹道规划与制导方法未来可能的发展趋势进行了展望。