基于健康蜕化的航空发动机传感器故障诊断(英文)

改进在线故障诊断算法使其能适应发动机健康蜕化是目前故障诊断所面临的困难,如果诊断算法没有自适应能力,在发动机健康蜕化后将失去其诊断功能。为了解决此问题,提出在线故障诊断算法,采用跟踪滤波器估计发动机的健康状况,机载模型根据跟踪滤波器的估计结果进行更新。更新后的机载模型能够与真实的发动机相匹配。这使得当发动机健康蜕化后在线故障诊断仍能保持其有效性。最后采用一组卡尔曼滤波器来对航空发动机传感器故障进行诊断与隔离。通过设计好的一组卡尔曼滤波器,能够诊断并隔离出故障。本文使用非线性发动机模型来验证此方法,仿真结果表明本文提出的在线诊断方法在发动机健康蜕化后仍能保持其有效性。     

某型发动机燃烧室出口温度计算方法分析及应用

概要介绍了某型航空发动机燃烧室出口温度的2种计算方法,结合发动机试车数据对采用2种计算方法得到的结果进行了对比分析。结果表明：采用涡轮流量法计算某型发动机燃烧室温度的结果比采用压气机特性法得到的计算结果更接近实际结果。     

基于粗集理论的系统评估

讨论了基于粗集理论的系统综合评估和运用粗集理论进行系统评估指标体系的选择。给出了基于粗集理论进行系统综合评估的一般步骤，研究了运用粗集基本理论进行评估指标体系建立的方法，最后的实验结果验证了本文方法的有效性。     

用指标体系方法综合评价机场技术进步状况

根据机场的技术特点，构建了适合机场的技术进步综合评价指标体系，并运用系统分析方法，确定了各指标的合理权重和评分区间，最后利用现有数据对国内机机场进行了技术进步状况的比较排序，并对排序结果进行了分析。     

称重传感器的一种新的滞后补偿方法(英文)

通过对电阻应变式称重传感器在各种加载卸载情况下的滞后特性的分析 ,建立了其相应的数学模型 ,并初步探讨了一种可以通过程序在仪表中对传感器的重要指标—滞后进行补偿从而提高整个传感器的精度的方法。最后 ,对以上方法进行了验证性试验 ,证明了补偿方法的可行性。     

Possibilities of parallel calculations in solving gas dynamics problems in the CFD environment of FLUENT software

The results of studying an incompressible gas flow field in a periodic element of the porous structure made up of the same radius spheres are presented; the studies were based on the solution of the Navier-Stokes equations using FLUENT software. The possibilities to accelerate the solution process with the use of parallel calculations are investigated and the calculation results under changes of pressure differential in the periodic element are given.     

Analysis of shells of revolution under symmetrical loading using the quadrature method

The application of the quadrature method [1] to analyzing the shells of revolution under symmetrical loading relative to the zero meridian is considered. The method can be treated as a generalization of the method presented in [2] to solve the Volterra integral equation of the second kind.     

Lambert转移中途修正的全局概率最优策略

应用Monte-Carlo法和遗传算法的联合仿真求解Lambert转移中途修正的全局概率最优策略.首先推广限制性三体问题中求解周期性特解的微分修正算法构造出考虑J₂项摄动下的Lambert转移轨道并以此作为参考轨迹,则中途修正策略仅需针对导航误差、初始偏差修正的控制偏差等进行补偿.应用微分修正算法导出的单值矩阵,设计出3类线性和非线性中途修正策略,以适应不同的精度需要.随后应用Monte-Carlo和遗传算法的联合仿真,可以得到实现代价函数(落点误差最小)在概率意义下的最优解.与直接利用优化算法寻优需要已知各种误差量不同,得到的最优修正策略更具有普适性.     

SOM人工神经网络在客机零部件故障诊断中的应用研究

现代客机在使用过程中不可避免地会发生各种故障，故障诊断对保证飞行安全十分重要，本文将基于概率的数学方法与专家经验相结合对其进行故障诊断。Kohonen的自组织特征映射（Self-organizing map,SOM）人工神经网络在输出上可反映出输入学习样本的概率密度分布，且无需知道样本的概率分布的先验知识，兼具函数逼近功能。本文将SOM引入这一领域，用于计算飞机零部件发生故障的概率，以及实现数学方法计算结果与专家经验的结合，实际应用说明了该方法的可行性。     

Lateral Flight Technical Error Estimation Model for Performance Based Navigation

Flight technical error (FTE) combined with navigation system error (NSE) is the main part of total system error (TSE) in performance based navigation (PBN).The implementation of PBN requires pre-flight prediction and en-route short-term dynamical prediction of the TSE.Once the sum of predicted lateral FTE and NSE is greater than the specified PBN value,the PBN cannot operate.Thus,accurate modeling and thorough analysis of lateral FTE are indispensible.Multiple-input multiple-output (MIMO) lateral track control system of a transport aircraft is designed using linear quadratic Gaussian and loop transfer recovery (LQG/LTR) method,and the lateral FTE of a turbulence disturbed approach operation is analyzed.The error estimation mapping function of latera FTE and its bound estimation algorithm are proposed based on singular value theory.According to the forming mechanism of lateral FTE,the algorithm considers environmental turbulence fluctuation disturbance,aircraft dynamics and control system parameters.Real-data-based Monte-Carlo simulation validates the theoretical analysis of FTE.It also shows that FTE is mainly caused by turbulence fluctuation disturbance when automatic flight control system (AFCS) is engaged and would increase with escalating environmental turbulence intensity.