计算机软件故障的快速修复

电脑操作中80％以上的问题是软件引起的,计算机故障尽管五花八门、千奇百怪,但由于计算机是由一种逻辑部件构成的电子装置,所以软件故障诊断的基本原则,软件故障诊断的方法,计算机软件故障的检修流程,计算机软件故障快速修复的常用方法是有规律可循,可以梳理总结出来。掌握这些规律,计算机软件故障修复可快速解决。     

一种软件故障诊断过程框架

软件在国民经济和社会生活中发挥着重要作用.软件出现故障给人们的工作、生活带来不便,甚至造成严重危害.但是当前所进行的多为软件故障诊断中单项活动的研究,较少有对各项诊断活动及其相应方法进行有效集成的研究.文中分析软件失效机理和软件故障产生原因,讨论软件故障模型,提出一种由故障检测、故障定位、故障排除、交付等组成的集成化的...     

装备无故障发现与间歇故障诊断技术

无故障发现是装备单元在某维修级别被认为故障而拆卸,却在下一维修级别测试没有发现故障的现象,日益成为装备测试与保障领域的突出问题。间歇故障是无故障发现的主要原因,也是故障检测诊断领域面临的棘手问题。介绍了无故障发现和间歇故障的基本概念,总结分析了无故障发现和间歇故障的产生诱因、分类及对装备的影响,概述了无故障发现、间歇故障检测与诊断技术的国内外研究现状,指出了间歇故障确定性检测的发展趋势,深入分析了间歇故障诊断领域的关键技术与发展方向。     

计算机网络安全故障分析与排除

针对计算机网络故障越来越多的现象,首先介绍了计算机网络常见的故障,然后提出了解决网络故障的一般步骤,常用工具,最后结合实例对网络故障进行了诊断和处理。     

便携式电缆故障定位设备研究

针对电力电缆运行环境的特点,分析故障产生的机理,给出各种常见故障类型,并根据阻抗匹配原理,通过测量电缆电阻的大小,设计一种新型电缆故障检测电路,运用电桥法和低压脉冲反射法实现电力电缆的故障定位。     

如何诊断分析网络故障

网络故障极为繁杂,也相当普遍。如果把网络故障的常见故障进行归类查找,那么无疑能够迅速而准确地查找故障根源,解决网络故障。文章论述了常见网络故障的分析及排除。     

A discrete event systems approach to network fault management: detection and diagnosis of faults

An important aspect of network management is fault management, which involves, detecting, locating, isolating, correcting and adapting to faults in the network. We study modeling of communication network protocol and fault detection, identification and localization in the discrete event system diagnosis framework. As an illustration of the approach, normal and faulty behavior of the X.25 network protocol is modeled as a finite state machine. This modeling formalism allows the utilization of discrete event system analysis for the detection and diagnosis of faults. Our approach provides a systematic way of performing fault diagnosis for network fault management. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

运行时软件故障注入器的设计与实现

针对实际故障诊断中难以有效获得故障现场信息的问题,提出通过在软件运行时注入故障的方式获取故障现场信息,设计并实现一种运行时软件故障注入器,给出其中的故障脚本描述语言、故障库和故障注入器算法。实验结果表明,该注入器能有效实现故障注入,获取故障现场信息。     

基于Ontology的故障诊断方法

故障诊断是质量服务的主要内容之一,故障诊断方法一直以来都是质量服务领域的研究热点。在分析传统故障诊断方法存在的问题的基础上,提出了基于Ontology的故障诊断方法。阐述了基于Ontology的故障诊断过程,给出基于Ontology的故障知识表示和故障诊断算法。实例应用效果证明了基于Ontology的故障诊断方法的有效性。     

A Survey of Fault Management in Wireless Sensor Networks

Wireless sensor networks are resource-constrained self-organizing systems that are often deployed in inaccessible and inhospitable environments in order to collect data about some outside world phenomenon. For most sensor network applications, point-to-point reliability is not the main objective; instead, reliable event-of-interest delivery to the server needs to be guaranteed (possibly with a certain probability). The nature of communication in sensor networks is unpredictable and failure-prone, even more so than in regular wireless ad hoc networks. Therefore, it is essential to provide fault tolerant techniques for distributed sensor applications. Many recent studies in this area take drastically different approaches to addressing the fault tolerance issue in routing, transport and/or application layers. In this paper, we summarize and compare existing fault tolerant techniques to support sensor applications. We also discuss several interesting open research directions. Lilia Paradis is currently a graduate student in the Department of Mathematical and Computer Sciences, Colorado School of Mines. She is also part of the Toilers Ad Hoc Networking research group. She is interested in distributed communication protocols for wireless sensor networks. Qi Han received the PhD degree in computer science from the University of California, Irvine in 2005. She is currently an assistant professor in the Department of Mathematical and Computer Sciences, Colorado School of Mines. Her research interests include distributed systems, middleware, mobile and pervasive computing, systems support for sensor applications, and dynamic data management. She is specifically interested in developing adaptive middleware techniques for next generation distributed systems. She is a member of the IEEE and the ACM.     

Web服务故障的分类方法①

Web服务故障分类是实现故障诊断的基础。在分析了Web服务的故障管理流程的基础上,提出了Web服务类型和执行过程相结合的Web服务故障分类方法,构建了Web服务故障树,根据故障及其外部表现间的对应关系构造了Web服务故障矩阵,通过分析和验证说明Web服务分类方法能够有效支持快速、准确的Web服务故障诊断。     

控制系统故障定位的图论算法设计与研究

文章对控制系统故障传播的规律进行了研究，运用数学图论的有关理论提出了一种基于图论的故障定位搜索算法；使用该算法定位了实际控制工程中的故障；该算法效率较高，定位故障准确，具有实际应用价值。     

一种航天测控系统软件故障分析框架

在充分研究航天测控系统软件研发维护特点的基础上,通过引入相异性软件故障模型,结合软件故障检测和故障定位等分析方法,构建了一种基于功能组件的航天测控系统软件相异性故障模型,提出了一种具有较强针对性的航天测控系统软件故障分析框架,为航天测控系统软件故障分析的集成化研究提供了新思路。这种软件故障分析框架已在航天测控系统软件测试及软件故障问题排查等实际问题中得到有效应用,实践表明该框架对软件系统的研发维护及软件故障的快速分析定位具有重要意义。     

SISO过程突发性故障基于滑动容错拟合的在线诊断

以SISO过程输出环节脉冲型故障为研究对象,建立了过程轨线具有容错功能的滑动容错拟合算法,以滑动容错拟合算法为基础,构造了一组适用于多故障过程脉冲型故障的在线检测方法,以及故障幅度的统计辨识算法。通过理论分析和仿真计算,证实了本文滑动容错拟合和故障在线诊断方法的有效性。     

基于列车智能显示器故障记录处理的设计与研究

列车在外部环境的影响下导致各设备的软硬件产生缺陷从而引发故障,在一定程度上影响了列车的性能和安全。显示器是列车必不可少的重要部件,是人机交互的桥梁,也是列车各设备故障状态信息显示的窗口。针对传统列车显示器的故障误报和易产生故障空白记录的现象,文章设计和实现了基于故障码的列车显示器故障信息搜索和分析方法,大大提高了列车显示器应用设计人员的开发效率,减少了故障记录过程的工作量。并基于实际测试环境对该方法进行了实验,结果表明,该方法对列车显示器故障记录的处理具有高效性、健壮性,并保证了显示器故障信息显示的准确性。     

网络中的常见故障诊断及分析

随着科技创新,互联网技术的水平不断提升,计算机网络故障的发生愈发频繁.网络故障是指由于硬件、软件的问题、或者病毒的入侵等而导致网络的故障,阻碍了网络工作的正常运行,给人们带来了很大的不便.为了解决网络故障给我们带来的问题,我们可以学习有关网络故障的一些基础知识,通过对它的了解,能基本解决相关问题,确保计算机的正常使用.     

利用门限进行电路故障诊断

如何设定故障门限对电路故障诊断结果影响很大。简述了电路故障诊断基本概念 ,重点介绍了如何利用故障门限进行电路故障检测和故障隔离。介绍了如何通过电路仿真分析来设置故障门限 ,并结合实例进行了具体分析     

动态系统的故障预报技术

首先介绍了动态系统故障预报技术的发展状况,然后分三类介绍了目前已有的各种故障预报技术,并讨论了各种方法的优缺点,随后介绍了一些典型的应用例子,最后对这一领域的发展趋势进行了探讨.     

基于E语言的故障建模方法研究

为适应故障注入的自动化和实时性要求,针对试验人员需在试验开始前给出故障信息和编写试验方案,提出产品故障、元故障和故障模型概念,提取产品故障和元故障特征。在此基础上,采用IEEE Std 1647TM-2006的“E”功能验证语言,描述故障特征、构建故障模型,并给出故障模式的描述方式。最后以某电子飞行显示系统为应用案例,案例表明,故障模型及其描述方法可有效地提高故障注入的自动化和实时性水平。     

Bayesian Fault Probability Estimation: Application in Wind Turbine Drivetrain Sensor Fault Detection

In this paper, the extension of the Bayesian framework for sensor fault detection of nonlinear systems proposed in [25] is studied utilizing particle filtering and the expectation maximization (EM) algorithm, in which the fault probability is calculated. The proposed algorithm is implemented on a wind turbine benchmark model to detect drivetrain sensor faults, which are one of the most addressed and likely faults in offshore wind turbines. The fault probability estimation effectively eliminates the need for installing identical redundant sensors. Indeed, because of the use of the unknown wind speed estimator, the residual signal, constructed based on the drivetrain estimated states, is not able to clearly signify the fault periods, a situation in which the fault probability accurately does this task. Also, using the proposed algorithm, the fault size for each sensor is estimated via a one‐step calculation, which decreases the complexity of this algorithm. The fault identification is performed using the recursive least square method and two other modifications, including exponentially weighted and windowed estimates. Additionally, in the fault accommodation step, the concept of a virtual sensor is used to remove the need for reconfiguring the current controller, which reduces complexity and expense. In the simulation section, using a real measured wind speed for two different fault scenarios, the proposed algorithm is evaluated and finally, conclusions are stated.