试建立基于检测振动加速度信号的设备故障部位诊断模型

往复式压缩机、内燃机等复杂设备,一旦出现故障,诊断的首要任务是要判断它们的故障部位。以检测振动加速度信号取代传统的耳听手摸的经验方法是这类设备诊断的一个趋势。尝试着提出了基于检测振动加速度信号的设备故障部位诊断模型--单特征模型和多特征集成模型。通过在往复式压缩机和内燃机上的实例验证表明,提出的单特征模型和多特征集成模型具有一定的可行性,其中多特征集成模型比单特征模型更有效。     

来流条件对叶片表面附面层转捩影响的数值模拟研究

通过对二维压气机叶栅叶片表面附面层流态的数值模拟分析,研究了在不同来流马赫数和冲角下,叶片表面层流附面层向紊流附面层的转捩过程,转捩区域的大小等。归纳分析了部分来流条件对转捩过程的影响机制。结果表明:来流马赫数和冲角对转捩起始点和结束点的位置,即转捩所占区域的大小有重要影响。研究工作取得的进展不仅为进一步从机理上深刻认识来流条件对叶片表面附面层流态的影响机理提供了一定的科学依据,而且对今后指导叶片表面附面层流态模似实验工作的开展具有重要参考价值。      

应用BP-ART混合神经网络的推进系统状态监控实时系统

应用ＢＰ－ＡＲＴ混合神经网络提出了一种供推进系统状态监控实时使用的系统,其拓扑结构为： 第一层处理单元由ＢＰ神经网络组成, 每个ＢＰ网络代表一个相应的推进系统组件; 第二层处理单元为一个ＡＲＴ神经网络, 网络的每一个输出代表推进系统的一种“健康状态”, 据此可对其故障进行“诊断”。该混合结构充分发挥了两类网络的优点, 给出的具体应用实例也显示出在推进系统实时状态监控与故障诊断应用中的有效性     

推力矢量飞机的起飞性能研究

简述推力矢量技术的作用,建立了带三轴推力矢量飞机的起飞滑跑段运动方程,通过数值仿真探讨了推力矢量的偏转大小对起飞性能的影响,对不同推力矢量偏转下飞机起飞性能的仿真计算结果进行了分析。仿真结果表明,采用直接力控制可以明显提高飞机的起飞性能。     

燃烧室进口高温高压状态下一氧化碳排放特性研究

对装有双旋流空气雾化喷嘴的试验燃烧室在宽广进口总温、进口总压范围以及燃烧室油气比范围内的一氧化碳排放特性进行了试验研究。取得了燃烧室在高温高压状态下工作时一氧化碳排放特性结果。并且根据已有一氧化碳排放指数经验模型,计算了相同工况下该试验燃烧室一氧化碳排放量。      

交交自控同步电动机的低速工作特性及其改进

 本文在分析交交型自控同步电动机低速借电源电压实现电机换相的基础上,提出了进一步提高电机过载能力和扩大低速工作转速范围的原理和方案。经计算机仿真和实验验证,证明了原理的正确性,为进一步开发此型电机低速工作领域打下了良好的基础。     

后向台阶超声速流动的动力混合RANS／LES模拟

针对可压缩湍流流动,构建了1种动力混合RANS/LES模式。运用该模式模拟了超声速后向台阶流动,结果再现了二维后向台阶剪切层的拟序结构,计算得到了统计平均的压力分布,回流区长度与实验结果符合较好。与定系数的一般混合RNAS/LES模拟结果的对比表明,动力混合RANS/LES模式在对流场拟序结构的捕捉、流动时均压力分布方面表现较优。     

某型飞机刹车失效分析及对策研究

刹车系统是飞机的重要组成部分,是保证飞机滑跑、起飞和着陆的重要装置,其工作可靠性直接影响飞行安全.本文对某型飞机因刹车失效,发生一起与地面停放飞机相擦的飞行事故征候,进行了刹车失效分析和机理研究.同时,按技术问题“五归零”要求,深入开展了多余物产生根源的排查工作,进行了改进研究和试验验证,并制定了对策.     

Adaptive Gaussian sum squared-root cubature Kalman filter with split-merge scheme for state estimation

The paper deals with state estimation problem of nonlinear non-Gaussian discrete dynamic systems for improvement of accuracy and consistency. An efficient new algorithm called the adaptive Gaussian-sum square-root cubature Kalman filter（AGSSCKF） with a split-merge scheme is proposed. It is developed based on the squared-root extension of newly introduced cubature Kalman filter（SCKF） and is built within a Gaussian-sum framework. Based on the condition that the probability density functions of process noises and initial state are denoted by a Gaussian sum using optimization method, a bank of SCKF are used as the sub-filters to estimate state of system with the corresponding weights respectively, which is adaptively updated. The new algorithm consists of an adaptive splitting and merging procedure according to a proposed split-decision model based on the nonlinearity degree of measurement. The results of two simulation scenarios（one-dimensional state estimation and bearings-only tracking） show that the proposed filter demonstrates comparable performance to the particle filter with significantly reduced computational cost.     

An extrapolation approach for aeroengine’s transient control law design

Transient control law ensures that the aeroengine transits to the command operating state rapidly and reliably. Most of the existing approaches for transient control law design have complicated principle and arithmetic. As a result, those approaches are not convenient for application. This paper proposes an extrapolation approach based on the set-point parameters to construct the transient control law, which has a good practicability. In this approach, the transient main fuel control law for acceleration and deceleration process is designed based on the main fuel flow on steady operating state. In order to analyze the designing feature of the extrapolation approach, the simulation results of several different transient control laws designed by the same approach are compared together. The analysis indicates that the aeroengine has a good performance in the transient process and the designing feature of the extrapolation approach conforms to the elements of the turbofan aeroengine.