Universal prediction-based adaptive fault estimator applied to secure communication

In this paper, a communication scheme that could use a nonlinear dynamical system to create encrypted keys with an additional dimension is proposed, and the scheme could keep encrypted keys not to diverge. Since the divergence of encrypted keys (nonlinear signals) easily happens in non-linear systems coupled with other systems, the adaptive control approach, proposed in this paper, uses the universal state-space adaptive observer-based fault diagnosis/estimator and the high-performance tracker to eliminate the divergence of encrypted keys. At the same time, the receiver of communication retrieves informal messages by the universal state-space adaptive observer-based fault diagnosis/estimator and the high-performance tracker. Thus, this paper takes advantage of the merit of digital redesign methodology for a practical implementation of secure-communication, and the estimator solves the problem of secure communication. Thus developed a new approach could add more dimensions into nonlinear secure-communication systems without having the problem of divergence of encrypted keys.     

Understanding periodically twinned structure in nano-wires

Using first-principles calculations we have investigated the high stability of twinned nano-wires, which explains why the stacking faults always appear. Furthermore, we present a growth model to describe the formation mechanism of the stacking faults in the compound nano-wire with zinc-blende structure (e.g. SiC). And the model is confirmed by the numerical calculation based on the point charge approximation.     

分层立方体网络的容错性分析

通过分层立方网络HCNn (n≥3)的容错性分析,从理论上探讨了分层立方网络基于比较模型的条件诊断度,并证明其条件诊断度为tc(HCNn)=3n?2,大约是传统诊断度(t(HCNn)=n+1)的3倍.     

某型电子信息系统模块级故障诊断技术研究

针对电子信息系统结构复杂、难于建立精确数学模型等特点，以某型电子信息系统为例，采用故障字典和BP神经网络相结合的方法，利用Multisim软件进行电路仿真。再由实测样本数据对BP神经网络进行训练，完成对网络各参数的设置。仿真结果表明，该方法可以较好地将故障定位到元器件，同时可为其他电子信息系统模块级故障诊断技术研究提供借鉴。     

Study of Test Flow Optimization Method in Radar Fault Isolation

In order to optimize test flow after the default flow is modified by a tester, a new software framework for the radar fault isolation is illustrated. This framework separates all mapping algorithms from test flows so as to modify flow and to insert mapping algorithm dynamically in testing process. Based on this framework, a kind of optimization method of test flow is proposed and studied. By defining an objective function, we can evaluate all candidate test flows so as to get an optimized flow. An example explains how to search the flow from candidate flows.     

Optimal fault margin in a computer system

This paper suggests a stochastic model how to determine a fault margin in a computer system, who fails when the total number of hidden faults exceeds a threshold level N of tolerance: A fault occurs at a non-homogeneous Poisson process, and (i) becomes system failure with probability p₁, (ii) becomes hidden fault with probability p₂ and is accumulated, or (iii) is removed with probability p₃. The expected cost rate to system failure is derived, and an optimal number N^* to minimize it is discussed. A numerical example is finally given.     

网络管理中的故障模型

网络故障隔离和诊断在网络管理中是非常重要的。其目的是保证网络提供连续、可靠的服务。但是网络故障的复杂性使该问题很难处理 ,因而研究网络故障是关键。本文描述了网络故障发生的环境 ,提出了一种网络故障模型 ,分析了网络故障的特征 ,并对故障传播问题作了讨论。     

广义Bayes诊断法

系统地阐述了Bayes的诊断思想,推广了多输入单输出诊断方法,对多输入多输出的诊断作出一次尝试,克服以往诊断的局限性,给出一种广泛应用的诊断方法,并通过仿真示例,表现出其可行性及有效性.     

基于神经网络的机载航炮故障诊断专家系统

在分析专家系统和神经网络单独应用于设备故障诊断的优缺点基础上，建立了基于神经网络的机载航炮故障诊断专家系统。实践证明，网络的学习时间显著缩短，整个系统推理效率明显提高，验证了集成式专家系统的诊断效果比传统的专家系统或神经网络更全面、准确和迅速。     

BP神经网络专家系统在故障诊断中的应用

介绍了一种基于BP神经网络故障诊断专家系统 ,给出了系统的结构 ,具体描述了神经网络专家系统的基本原理。并以船舶柴油机冷却系统故障诊断为例说明了神经网络故障诊断的推理过程。诊断结果表明了该方法的有效性。