低轨Walker星座构型演化及维持策略分析

针对低轨(LEO)Walker星座构型维持问题，分析在地球非球形引力和大气阻力摄动下卫星的运动规律及星座构型演化特性。结果表明，低轨Walker星座构型发散主要体现在由初始轨道参数不一致引起的轨道高度衰减和相位漂移，国内首例低轨Walker星座实测轨道数据验证了理论分析的正确性。结合星座任务特性与构型发散特点，提出了基于基准卫星的相对相位维持策略，选取一颗卫星作为基准卫星，使星座中其它所有卫星相对于基准卫星的相位漂移量累加值最小，通过对目标卫星实施一次相对基准卫星的轨道高度抬升/降低，维持星间的相对位置关系。实际工程应用表明了此策略的有效性，不仅降低星座构型维持的复杂度及频次，节约燃料，且轨控时间短，为我国今后卫星星座的构型维持提供参考。     

任务表集群计算平台的实时性研究

实时计算系统的关键特征包含计算时限保证和可信度两个方面。本文从进程配置、负载分配、消息传递等方面介绍任务表算法集群平台的计算时间保证措施;从瞬间故障表现和长期运行表现介绍平台在实时应用中的可信度措施。     

基于BP神经网络的飞机装备维护人员综合素质评估

在分析了影响维护人员素质的因素后提出了基于BP神经网络对维护人员综合素质进行评估的方法.利用BP神经网络建立了维护人员综合素质的评价模型,并通过使用改进算法进行了训练.训练测试的结果表明,该方法具有较高的可行性和有效性,为全面评估维护人员的素质提供了一种方法.     

An aero-engine life-cycle maintenance policy optimization algorithm: Reinforcement learning approach

An aero-engine maintenance policy plays a crucial role in reasonably reducing maintenance cost. An aero-engine is a type of complex equipment with long service-life. In engineering,a hybrid maintenance strategy is adopted to improve the aero-engine operational reliability. Thus,the long service-life and the hybrid maintenance strategy should be considered synchronously in aero-engine maintenance policy optimization. This paper proposes an aero-engine life-cycle maintenance policy optimization algorithm that synchronously considers the long service-life and the hybrid maintenance strategy. The reinforcement learning approach was adopted to illustrate the optimization framework, in which maintenance policy optimization was formulated as a Markov decision process. In the reinforcement learning framework, the Gauss–Seidel value iteration algorithm was adopted to optimize the maintenance policy. Compared with traditional aero-engine maintenance policy optimization methods, the long service-life and the hybrid maintenance strategy could be addressed synchronously by the proposed algorithm. Two numerical experiments and algorithm analyses were performed to illustrate the optimization algorithm in detail.     

高职"机务维修"专业实训教学存在的问题及对策

近年来，高职教育机务专业在我国有了很大发展，为我国航空事业培养了大批的专业技术人才，但由于民航业的快速发展和传统教育观念的影响，机务专业在实训教学环节中显露出了一些问题与不足，针对这些问题，深入探讨了高职教育机务专业在实训教学中应采取的一些措施及对策。     

Adaptive Sliding Control of Six-DOF Flight Simulator Motion Platform

本文使用Newton-Euler法推导了六自由度飞行模拟器运动平台完整的线性化形式的动力学方程,并以此为基础,提出了一种在任务空间中的非线性自适应滑模控制方法。这种控制方法将系统中的不确定性分为定常不确定参数和时变不确定参数,利用非线性自适应控制对定常不确定参数进行辨识,同时结合滑模控制对时变不确定参数和外部扰动进行补偿。通过数值仿真分析表明,该控制策略能准确识别运动平台的载荷、惯量、重心等参数,同时又能有效地提高系统的鲁棒性能。     

Application of reliability technologies in civil aviation: Lessons learnt and perspectives

We consider reliability engineering in modern civil aviation industry, and the related engineering activities and methods. We consider reliability in a broad sense, referring to other system characteristics that are related to it, like availability, maintainability, safety and durability. We covered the entire lifecycle of the equipment, including reliability requirement identification, reliability analysis and design, verification and validation of reliability requirements (typically involved in the equipment design and development phase), quality assurance (which typically enters in the manufacturing phase), and fault diagnosis and prognosis and maintenance (which are connected to the operation phase). Lessons learnt from reliability engineering practices in civil aviation industry are given, which might serve as reference for reliability managers and engineers, also from other industries with high reliability requirements.     

A320系列飞机大气数据系统的维护

大气数据系统是飞机重要的机载系统。本文结合系统原理、工程技术资料和自身维护经验,对A320系列飞机大气数据系统日常维护中的一些常见故障和特殊故障进行分析,给出维护建议,并对系统维护中的注意事项进行提示与强调。     

一种螺栓拉伸器校准方法研究CSCD

介绍了螺栓拉伸器的一种校准方法,运用牛顿第三定律的基本原理,研究并设计了一种拉伸器校准装置对螺栓拉伸器进行校准,通过对实验结果的误差和重复性分析,以及不确定度评定,表明该拉伸器校准装置具有良好的线性度,测量误差在±1%以内,符合螺栓拉伸器校准要求,达到了校准螺栓拉伸器的目的,可以开展螺栓拉伸器校准工作。     

自振效应对平台式绝对重力仪影响的研究

绝对重力仪是用来精密测量重力加速度的仪器,在计量学、地球物理、地质勘探、辅助导航等诸多领域中有着广泛应用.目前分体式绝对重力仪的测量精度已达到微伽(μGal)量级,而平台式绝对重力仪受自身振动影响较大,精度通常只能达到毫伽(mGal)量级.基于NIM-3C型绝对重力仪搭建一套振动测量系统,分别对分体式及平台式NIM-3...