Modeling of reliability and performance assessment of a dissimilar redundancy actuation system with failure monitoring

Actuation system is a vital system in an aircraft, providing the force necessary to move flight control surfaces. The system has a significant influence on the overall aircraft performance and its safety. In order to further increase already high reliability and safety, Airbus has imple-mented a dissimilar redundancy actuation system (DRAS) in its aircraft. The DRAS consists of a hydraulic actuation system (HAS) and an electro-hydrostatic actuation system (EHAS), in which the HAS utilizes a hydraulic source (HS) to move the control surface and the EHAS utilizes an elec-trical supply (ES) to provide the motion force. This paper focuses on the performance degradation processes and fault monitoring strategies of the DRAS, establishes its reliability model based on the generalized stochastic Petri nets (GSPN), and carries out a reliability assessment considering the fault monitoring coverage rate and the false alarm rate. The results indicate that the proposed reli-ability model of the DRAS, considering the fault monitoring, can express its fault logical relation and redundancy degradation process and identify potential safety hazards.     

一种自信学习自动机

提出一种二次不动—惩罚变结构随机自动机模型（Q(IP)）。较之于其线性形式（L(IP)），新模型的学习带有一定的自信（当然，有时也可能是自负）。特别，跟传统自动机不同的是，新算法的极限行为同时兼具吸收壁和遍历性。     

Stochastic acceleration of charged particle in nonlinear wave field

Possibility of stochastic acceleration of charged particle by nonlinear waves is investigated. Spatially regular (SR) and spatiotemporal chaotic (STC) wave solutions evolving from saddle steady wave are tested as the fields. In the non-steady SR field the particle is finally trapped by the wave and averagely gains its group velocity, while in the STC field the particle motion displays trapped-free phases with its averaged velocity larger or smaller than the group velocity depending on the charge sign. A simplified model is established to investigate the acceleration mechanism. By analogy with motor protein, it is found that the virtual pattern of saddle steady wave plays a role of asymmetric potential, which and the nonlinear varying perturbation wave are the two sufficient ingredients for the acceleration in our case. This revised version was published online in August 2006 with corrections to the Cover Date.     

现场可修系统的可靠性数据处理

用随机点过程模型来处理航空产品现场可修系统的可靠性数据时，存在系统故障修复次数少，数据不齐全的问题。为此，对符合非时齐泊松过程模型的数据作为“修复如新”处理时，所所应满足的条件及适用范围作了分析，通过数字仿真对精度的计算，在工作应用中，当系统修复次数小于或等于３时，可将“修复如旧”的系统当作“修复如新”的模型处理，但要注意参数ｍ的影响；对残存比率法应用于可修系统数据处理时的可能性进行了讨论。仿真结     

Applying the mathematical theory of stochastic processes to lunar and planetary science: the ancient oceans on Mars case

The Mathematical Statistics Theory (MST) and the Mathematical Theory of Stochastic Processes (MTSP) are different branches of the more general Mathematical Probability Theory (MPT) that represents different aspects of some physical processes we can analyze using mathematics. Each model of a stochastic process according to the MTSP can provide one or more interpretations in the MST domain. The importance of MTSP is that each such interpretation can provide large amount of new information. While large body of work on the impact crater statistics according to MST has already been done, it is yet to be investigated as to how we can model a stochastic process according to MTSP; for example, bombardment of the planetary surface or something else in a Lunar and Planetary Science (LPS) domain. In order to show possible achievements, the possible existence of a Martian ocean was chosen as a query that could be addressed through computations using presumptions according to MTSP, including probability of existence as well as lateral and vertical extent and duration of time. While the presumptions for this particular case will also be addressed in certain degree, this will be done primarily to show complexities of some physical process that can be modeled, rather than to prove correctness of the concrete values computed here. While this in itself can be the objective in some future work toward the formal proof of the probability, extent, and timing of oceans on Mars, the basic idea here is to show the basic principles of MTSP, and its potential for addressing LPS-related phenomena. Here, I attempt to show how this approach can: (1) provide large amounts of previously unknown information about physical processes on the surface of the planet, (2) lead to a better understanding of the processes that have shaped the surface of the planet, and/or (3) help constrain the amount of resurfacing. Coupled with other current methodologies, MTSP can result in a better understanding of the history of Mars, as well as other lunar and planetary bodies.     

随机间隔脉冲串雷达信号的平均模糊函数研究

研究了随机间隔脉冲串雷达信号，给出了该随机序列的模糊函数数学表达式，对推导过程所采用的主要方法和思路作了详细叙述，并分析了调制参数变化对结果的影响。     

以随机壁微扰辐射损耗为基础的光纤传感技术(英文)

提出并研究一种构成光纤传感网络埋入复合材料内部用于损伤探测的光纤传感技术.对光纤进行化学处 理,剥去光纤外层在纤芯表面形成无规则分布、大小不一的微粒,在光纤形成随机壁微扰区.根据随机壁微扰导致导模与辐射模的模转换引起功率损耗的特性,随机壁微扰区就可以为敏感区.本文根据平面波导随机壁微扰理论并实验研究了腐蚀时间与相对功率损耗的关系.最后给出内含光纤传感网络试件的实测结果.结果表明,本文提出的光纤传感技术可用于复合材料损伤探测,为监测飞行器飞行时的载荷及损伤结果提供一种测试方法.     

A novel imprecise stochastic process model for time-variant or dynamic uncertainty quantification

This paper proposes a novel model named as “imprecise stochastic process model” to handle the dynamic uncertainty with insufficient sample information in real-world problems. In the imprecise stochastic process model, the imprecise probabilistic model rather than a precise probability distribution function is employed to characterize the uncertainty at each time point for a time-variant parameter, which provides an effective tool for problems with limited experimental samples. The linear correlation between variables at different time points for imprecise stochastic processes is described by defining the auto-correlation coefficient function and the cross-correlation coefficient function. For the convenience of analysis, this paper gives the definition of the P-box-based imprecise stochastic process and categorizes it into two classes: parameterized and non-parameterized P-box-based imprecise stochastic processes. Besides, a time-variant reliability analysis approach is developed based on the P-box-based imprecise stochastic process model, through which the interval of dynamic reliability for a structure under uncertain dynamic excitations or time-variant factors can be obtained. Finally, the effectiveness of the proposed method is verified by investigating three numerical examples.     

用随机模型改进作战效能分析的纯概率模型

无论对战斗机还是对武器系统,沿任意一条航迹试图突破防区目标的生存概率或伤亡概率都是重要的效能指标。利用随机服务系统理论改进了这些效能指标的计算模型,改进后效能指标计算的准确程度显著地提高了。     

一类短生命周期产品的订购与定价联合决策模型

研究了一类短生命周期产品在价格依赖(加和)随机需求下的订购与定价联合决策问题。根据一类产品单周期两阶段销售的营销特性,首先以集中式系统的视角研究了其联合最优决策,并应用随机动态规划模型刻画了集中式系统的最优决策;然后,证明了其期望利润函数关于各决策矢量的凹性,并给出了确定最优决策矢量的迭代搜寻算法;最后,应用数值实验对决策结果进行了分析。研究表明:系统的绩效主要来自于销售的第一阶段,经营者应当更注重该阶段利润的挖掘。