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《软件》2017,(8):125-129
近年来国内网都在积极规划和建设智能电网,而智能电网中配电线路故障定位一直是个研究的热点和难点。其中故障定位的方法有很多,本文主要针对配电网中故障指示器定位的准确性一直没有得到有效的解决,从而设计了一套故障定位算法以及故障定位程序。该算法根据故障指示器定位的原理以及云南电网实际线路情况,通过建立了配电网网拓扑模型,采用逻辑位置标示和故障事件集的概念,通过逻辑分析从而得出故障位置,并且判断故障类型。其中故障事件由多条遥信抽象出来,目前该故障定位算法已应用在云南电网配电线路故障监测系统主站中,通过实际现象表明,该算法和程序在不影响线路正常工作的前提下,能够准确地定位出故障发生的位置,并能准确判断故障类型。该方法原理简单,定位准确度高,成本较低,易于推广。 相似文献
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祝庚 《计算机工程与设计》2008,29(8):1900-1903
分析了故障传播的机理并推断出其有限步扩散性,提出了一种K步故障扩散定位算法.对系统故障有向图进行了分片处理,结合故障传播概率矩阵对故障嫌疑节点进行故障扩散模拟寻找最佳扩散路径和最大嫌疑节点.使用C 编程和Matlab工具实现了KFL算法并给出部分具体工程源代码,对实际工程项目故障定位进行了仿真模拟.该算法可同时模拟诊断单点故障和多点故障,与传统故障定位的逆向算法不同,该算法是一种新型的正向思维的图匹配算法. 相似文献
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K步故障扩散算法的设计与实现 总被引:4,自引:0,他引:4
文中分析了故障传播的机理及其有限步扩散性,提出了一种K步故障扩散算法.针对系统故障有向图寻找最佳扩散路径.使用C++编程实现算法并对具体工程进行了仿真实验.可同时模拟和诊断单点和多点故障。与传统的故障定位算法相比,它是一种新型的正向思维匹配算法,结合了传播代价,定位更加准确.KFP算法可模拟产生系统的故障扩散运行图,预测和定位故障源,在实际工程得到了较好地应用。 相似文献
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提出了一种配电网故障快速定位系统的设计方案。该系统采用柱上故障监测终端识别故障,采用控制主站定位故障区段,两者通过GPRS通信管理机交换数据;采用过流速断法识别短路故障,采用全电流法识别接地故障;针对故障信息缺失及畸变情况,采用三态标识法对传统故障区段定位算法进行改进。仿真结果表明,在故障信息缺失和畸变的情况下,改进的故障区段定位算法可准确定位故障,容错性高。 相似文献
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刘星 《自动化与仪器仪表》2023,(3):162-167
针对铁路运输系统中输电线路故障测距和定位效果不佳的问题,提出基于FPGA的铁路电力行波故障定位系统装置。首先,基于暂态行波方法进行故障性质判断,并采用行波信号采集装置进行信号采集;然后利用模极大值算法进行故障特征提取,并通过模量波速时差分段法求出故障距离,从而实现电力行波故障准确定位。仿真结果表明,在铁路线路长度为60 km的状况下,本方法的绝对误差和相对误差分别控制在100 m和0.12%范围内,适应性极强;故障初相角仿真模拟中,故障初相角测距中的绝对误差始终低于80 m,测距误差较小。在不同故障类型测试中,提出故障测距方法的距离误差控制在100 m范围内,测距精度较高。最后在不同故障类型、故障距离和时间差的条件下,本装置的故障距离绝对误差均稳定在200 m范围内。由此可知,设计的故障测距定位装置具备操作性和稳定性,核心故障测距算法提高了电力行波故障定位精度,满足系统设计需求。 相似文献
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提出了一种农村电网故障定位的不精确推理方法,该方法基于用户投诉的不精确信息,采用贝叶斯不精确推理法,可以排除少数错误故障投诉信息的不利影响,最终获得比较可信的故障定位结果。根据这一方法设计了农村电网故障定位系统,典型算例与系统实际运行结果表明,该方法可有效地解决农网故障定位中不确定性问题。 相似文献
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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。 相似文献
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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。 相似文献
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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 相似文献
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A Survey of Fault Management in Wireless Sensor Networks 总被引:4,自引:0,他引:4
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. 相似文献