基于Webserver面向对象层次分解的故障诊断

基于Webserver面向对象层次分解的故障诊断,将复杂设备分解成设备、故障及维修三种对象类表示.先采集设备状态,获取设备征兆信息,并将系统故障分解成各子故障.由设备各级故障对象实例,获取设备各状态信息,验证设备故障,找出设备故障产生原因,排除方法,得出设备维修决策和设备状态性能意见.     

基于神经网络的导弹惯性器件故障预报系统研究

在导弹武器系统当中,及时准确地故障预报对提高导弹的安全性具有极其重要的意义.针对导弹惯性器件故障预报系统的设计要求,考虑到神经网络用于故障预报的优点,在神经网络技术应用于导弹惯性器件的故障预报过程中提出了神经网络的训练算法,把神经网络、预测理论和故障诊断系统有机结合起来建立了一个故障预报系统,利用该系统选取神经网络预测模型对某导弹陀螺随机漂移进行建模和分析,实现了故障预报.实例预测结果证明,给出的神经网络预测模型和训练算法是可行的.     

分层分布式网络故障监视算法研究

网络管理首先要有效地获得监视信息,现有的简单网络管理协议(SNMP)网络管理方式中,一般采用管理者轮询代理以及代理主动向管理者报告事件通知的方法监视网络,它们都占用较多的网络带宽和系统资源。为了减少网络监视带来的开销,该文基于分层分布式网络管理体系结构,提出了一种动态网络监视算法。算法根据轮询和事件通知获得的网络状态数据,预测发生告警的可能性。如果没有告警的可能性,则延时轮询,同时采用告警滞后机制过滤冗余告警信息,保证了既不漏报告警,又有效地降低了网络管理的通信负担。仿真结果表明,该文的监视算法有效地减少了轮询次数,过滤了重复告警信息,降低了管理信息占用的带宽,提高了网络管理的有效性。     

Soft error modeling and remediation techniques in ASIC designs

Soft errors due to cosmic radiations are the main reliability threat during lifetime operation of digital systems. Fast and accurate estimation of soft error rate (SER) is essential in obtaining the reliability parameters of a digital system in order to balance reliability, performance, and cost of the system. Previous techniques for SER estimation are mainly based on fault injection and random simulations. In this paper, we present an analytical SER modeling technique for ASIC designs that can significantly reduce SER estimation time while achieving very high accuracy. This technique can be used for both combinational and sequential circuits. We also present an approach to obtain uncertainty bounds on estimated error propagation probability (EPP) values used in our SER modeling framework. Comparison of this method with the Monte-Carlo fault injection and simulation approach confirms the accuracy and speed-up of the presented technique for both the computed EPP values and uncertainty bounds.Based on our SER estimation framework, we also present efficient soft error hardening techniques based on selective gate resizing to maximize soft error suppression for the entire logic-level design while minimizing area and delay penalties. Experimental results confirm that these techniques are able to significantly reduce soft error rate with modest area and delay overhead.     

综合化航电核心处理系统容错技术研究

当前航空电子系统是一个高度综合化、模块化的系统,作为其基础平台的核心处理计算机系统是一个综合数据处理、信号处理和图像处理的实时分布武计算机系统,可靠性要求很高,必须采用客错技术.文章在介绍实时分布武计算机系统硬件和软件结构的基础上,重点对容错技术进行了研究,提出了分层的容错管理策略,并通过具体实例说明了故障监控、故障处理和系统重构的方法.     

电流源激励下的模拟电路端口电压测试方法

文章研究了电流源激励下，二端口网络的输入端电压和输出端电压随网络中元件参数变化时相互之间的关系，并在此基础上提出了一种模拟电路故障诊断新方法。该方法不仅能够同时诊断元件的硬故障和参数偏移故障，而且能够同时运用于直流测试和交流测试。     

Framework for distributed autonomic self‐healing in fixed IPv6 networks

A main requirement for the Future Internet is to enable self‐management behaviors facilitating the network to adapt to changing conditions and self‐heal in the face of erroneous states. On the basis of Autonomic Fault‐Management principles, this paper proposes a framework consisting of a set of components operating inside the network elements and allowing the devices to collaboratively realize self‐healing. In that context, Autonomic Fault‐Management is intuitively constituted by the detection of the presence of faulty conditions, followed in turn by the self‐diagnosis and identification of the corresponding root causes, and completed consequently by the removal of the identified root causes and their effects. The proposed framework implements a distributed control loop that interacts with the network operations personnel in case the current erroneous state is not resolvable by means of Autonomic Fault‐Management. We argue that there are a number of mutual benefits between our proposed framework and the IPv6 protocol suite. This is demonstrated by a case study that illustrates these benefits and shows how the capabilities of IPv6 can be enhanced through the self‐healing mechanisms of the proposed framework. Finally, the prototype implementation used for the case study is analyzed in terms of scalability and overhead produced in the network nodes. Copyright © 2013 John Wiley & Sons, Ltd.     

基于PSPICE 9的数字电路元器件故障模型研究

文章提出了使用电路仿真实现电路故障注入与测试的方法，介绍了使用PSPICE 9实现电路故障注入的可行途径，论述了仿真自动故障注入的实现方法，讨论并建立了半导体集成数字器件的故障模式仿真模型．通过电路仿真实例进行了啄理验证。     

Delay-dependent fault detection for switched linear systems with time-varying delays—the average dwell time approach

In this paper, the fault detection problem is investigated for a class of discrete-time switched linear systems with time-varying delays. The main purpose is to design a fault detection filter such that, for all unknown inputs, control inputs and time delays, the estimation error between the residual and fault is minimized in an exponential way. The fault detection problem is converted into an exponential H_∞ filtering problem. By using a newly constructed Lyapunov functional and the average dwell time scheme, a novel delay-dependent sufficient condition for the solvability of this problem is established in terms of linear matrix inequalities (LMIs). A numerical example is given to demonstrate the effectiveness of the developed theoretical results.     

故障树分析法在PTC水压层压机故障诊断中的应用

层压机是一种广泛应用于半导体及微电子工业中的设备,PTC水压层压机和一般国产层压机相比具有结构复杂,系统参数多的特点,在这里针对这些特点,以故障树分析法对其常见的典型故障进行表述和分析,为能够准确判断故障点,缩短维修周期,提供依据。