冷储备系统的动态结构变化使得系统可用度分析必须基于瞬态求解，针对频域两部件冷储备系统马尔可夫更新方程解算困难的问题，提出基于时域伏尔特拉方程的迭代算法，证明了该迭代方程的唯一性和收敛性，并培出选代算法的误差分析。理论和实例分析表明，当冷储备系统部件的工作寿命和维修时间分布是有界函数时，利用迭代算法可以容易实现时域马尔可夫更新方程的求解。

Accelerated Life Testing (ALT) is an important technique to assess the reliability and lifetime of components with long life and high reliability. To some expensive products, it is difficult to supply a large of samples and long test time to carry out the life testing, so this paper studies accelerated model and its statistical method based on hybrid Weibull distribution under variable synthetic stresses. Based on the cumulative exposure model aforementioned, the parameters of accelerated model can be estimated with ALT data and its accelerated stress profile. However, the development of multi-stresses ALT under variable stress profile leads to a bottleneck problem on parameter estimation when evaluated parameters are greater than three. Direct toward the optimum difficulties with multi-parameters in Maximum Likelihood Estimation (MLE), this paper presents an Improved Float Genetic Algorithm (IFGA), which adopts the fuzzy algorithm in the float genetic algorithm to approach the global optimum solution. Application of hydraulic pump indicates that this method can reduce test time and test samples greatly.

通过层次化模块化分解技术，将复杂系统动态故障树分解为相互独立的模块，对独立模块分别进行可用度求解，再利用自下而上递归的方法实现复杂系统可用性分析。提出和推导出等效时变的可用度参数模型，分析了层次化模块化可用性分析方法的误差成因和相关影响，给出了故障相关和维修相关条件下的误差定义，定量研究了误差分布区域及其影响因素，提出了层次化模块化可用性分析方法的适用条件和应用原则，实例分析证明了该方法的有效性。

提出了以系统脉冲响应序列作为闭环系统模型的建模方法，并且给出了这种建模方法的计算方法以及模型输出的计算方法。这种闭环系统建模方法保留了脉冲响应序列中的高频成分，避免了从脉冲响应序列向传递晒数变换过程中丢失脉冲响应函数高频信息的缺点；同时，也避免了神经网络每次学习结果获得的网络模型不确定的缺点。采用该方法建立的闭环系统模型精度非常高并且可以应用在故障诊断的系统中。文章最后以数值仿真和实际带随机干扰的系统为例，证明该方法是有效的。

Advanced computer network can realize the bulk data transfer and real time control with high reliability and precision. Its availability not only depends on the connectivity of topological structure but also resies on its operational performance. Based on new network description, this paper provides the availability model of link and nodes that can be calculated with Generalized Stochastic Petri Net (GSPN). The main contribution of this paper focuses on the routing selection and performance evaluation. Working on the network performance by queueing theory, it concludes that the throughput and time delay are two impurtant performance indices in network. With Power formula, this paper presents the integrated availability model considering both topologic reliability and operational performance, which can realize the availability analysis perfectly from the point of view of a user.