基于应用识别的P2P蠕虫检测

对等网中基于漏洞传播的P2P蠕虫是严重的安全威胁.根据P2P蠕虫的传播特点,提出了一种P2P蠕虫检测方法PWD (P2P Worm Detection).PWD主要由基于应用识别技术的预处理和基于未知蠕虫检测技术的P2P蠕虫检测2部分组成,改进了干扰流量的识别和过滤规则,提出了P2P蠕虫检测规则,并引进博弈论的研究方法讨论了检测周期的选取问题.仿真结果和局域网环境下的实验结果都表明,PWD是检测P2P蠕虫和遏制其传播的有效方法.      

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.     

基于循环统计量的直升机齿轮箱轴承故障早期检测

在分析齿轮箱振动信号的基础上,提出了基于循环统计量的轴承故障早期检测方法,阐述了表征故障的一维和二维循环平稳特征。该方法利用信号与噪声具有不同循环频率的特性实现了信噪分离,能够比较容易地从复杂背景中提取出微弱的特征信息。最后在某型直升机齿轮箱轴承故障的早期检测中进行了实验验证。结果表明,该方法优于功率谱和解调分析,能够提取故障的早期特征。     

Advanced optimization of gas turbine aero-engine transient performance using linkage-learning genetic algorithm: Part I,building blocks detection and optimization in runway

This paper proposes a Linkage Learning Genetic Algorithm (LLGA) based on the messy Genetic Algorithm (mGA) to optimize the Min-Max fuel controller performance in Gas Turbine Engine (GTE). For this purpose, a GTE fuel controller Simulink model based on the Min-Max selection strategy is firstly built. Then, the objective function that considers both performance indices (response time and fuel consumption) and penalty items (fluctuation, tracking error, overspeed and acceleration/deceleration) is established to quantify the controller performance. Next, the task to optimize the fuel controller is converted to find the optimization gains combination that could minimize the objective function while satisfying constraints and limitations. In order to reduce the optimization time and to avoid trapping in the local optimums, two kinds of building block detection methods including lower fitness value method and bigger fitness value change method are proposed to determine the most important bits which have more contribution on fitness value of the chromosomes. Then the procedures to apply LLGA in controller gains tuning are specified stepwise and the optimization results in runway condition are depicted subsequently. Finally, the comparison is made between the LLGA and the simple GA in GTE controller optimization to confirm the effectiveness of the proposed approach. The results show that the LLGA method can get better solution than simple GA within the same iterations or optimization time. The extension applications of the LLGA method in other flight conditions and the complete flight mission simulation will be carried out in part II.     

An enhanced least squares residual RAIM algorithm based on optimal decentralized factor

The Least Squares Residual (LSR) algorithm is commonly used in the Receiver Autonomous Integrity Monitoring (RAIM). However, LSR algorithm presents high Missed Detection Risk (MDR) caused by a large-slope faulty satellite and high False Alert Risk (FAR) caused by a small-slope faulty satellite. In this paper, the LSR algorithm is improved to reduce the MDR for a large-slope faulty satellite and the FAR for a small-slope faulty satellite. Based on the analysis of the vertical critical slope, the optimal decentralized factor is defined and the optimal test statistic is conceived, which can minimize the FAR with the premise that the MDR does not exceed its allowable value of all three directions. To construct a new test statistic approximating to the optimal test statistic, the Optimal Decentralized Factor weighted LSR (ODF-LSR) algorithm is proposed. The new test statistic maintains the sum of pseudo-range residual squares, but the specific pseudo-range residual is weighted with a parameter related to the optimal decentralized factor. The new test statistic has the same decentralized parameter with the optimal test statistic when single faulty satellite exists, and the difference between the expectation of the new test statistic and the optimal test statistic is the minimum when no faulty satellite exists. The performance of the ODF-LSR algorithm is demonstrated by simulation experiments.     

波音737NG飞机火警探测组件误报警引发空停故障的分析

针对波音737NG飞机多起由于发动机/APU火警探测控制组件故障导致飞行机组进行空中关车应急处置的情况，对故障的原理进行分析，结合实际数据，提出了预防措施。     

薄板焊缝中超声TOFD检测方法浅析

回顾了超声TOFD检测方法,分析了超声TOFD近表面盲区的形成原因和3种改善近表面检测盲区的方法,包括TOFDW、S-TOFD以及基于希尔伯特黄变换的缺陷信号处理方法,并进行了典型的检测试验分析。利用TOFDW方法,TOFD表面检测盲区可达2mm。     

硅微静电悬浮陀螺微位移检测电路噪声分析

硅微静电悬浮惯性仪表主要面向空间应用,如卫星无拖曳控制,星载重力测量等,具有潜在分辨率高、功耗低、体积小、多轴集成等特点。仪表的高分辨率实现对检测电路的噪声提出了较高要求。本文以硅微静电悬浮陀螺仪单频调幅电容式微位移检测电路为例,从电路外部干扰噪声耦合机理及抑制、电路内部噪声分析及优化两个方面,给出了电源耦合噪声、电路温度特性以及放大器电路噪声分析优化等方面的理论推导、仿真及实验验证。