Fault Section Diagnosis Algorithm of Distribution Networks Based On Topology Identification

An algorithm of fault section diagnosis based on topology identification for distribution networks is presented. By decomposing the topologic matrix which describing the distribution network into two parts,one part only contain the complex coupling factor ,and the other ignore the complex coupling factor. Using this method, the fault zones in distribution network can be identified and isolated efficiently, and the vertexes of the zones can also be identified automatically. This approach adapts to the changefully network structures.     

A Multi-agent Fault Diagnosis System of Rotating Machinery Based on CBR

Recently,distributed intelligent systems based on multi-agent have been applied to many fields successfully.the multi-agent technique is introduced into the rotating machinery fault diagnosis system.With the combination of CBR technique,Basalstructure and development approach of the system are analyzed,and better cooperation among agents is realized.As a result,the system overcomes the limitation of single fault diagnosis method,and solves the contradictionbetween versatilityand adaptabilityof diagnosis software.Furthermore,a reference can be used for the research and development of multi-algorithmdiagnosis system of rotating machinery.The application in a factory's Networked Online Monitoring and Fault Diagnosis System for Turbine Fan shows that the system can diagnosefault rapidly and exactly.     

A Method for State Diagnosis of Grounding Grid

This paper discuses the method with which the corrosion of the grounding grid can be diagnosed .A grounding grid can handled as a circuit network. With the application of circuit network graph theory and the fault diagnosis theory of analog circuit and optimization, the fault diagnosis equations can be set up. This equations is figured out by Matlab, and the corrosion status of the grounding grid can be deduced from the result.     

Knowledge Representation for Rotative Machine Fault Diagnosis Based on Semantic Net

Aiming at knowledge representation problem of expert system for rotary machinery fault diagnosis, semantic net knowledge representation is discussed. Semantic net to represent expert knowledge of rotary machinery fault diagnosis is explored. Its realizing method is afforded in computer language, in addition, demostrating model is also developed in Visual C++. The result shows good validity of the knowledge representation.     

A New Adaptive Sequential Diagnosis Algorithm in the PMC Model

We present an adaptive algorithm for sequential diagnosis in the PMC model,which can directly identify a faulty processor without first identifying a fault-free processor.     

汽车催化转化器劣化因素分析及故障诊断

随着我国汽车排放法规的不断加严,催化转化器被广泛应用。由于催化转化器在我国应用的时间较短,故有关它的正确使用方法、故障诊断资料及经验较缺乏。为此,分析研究了催化转化器劣化机理,总结正确使用方法和故障诊断经验,旨在通过提高对发动机使用、保养和维护的水平,充分发挥催化器的作用,达到真正减少废气排放的目的。     

车辆变速箱故障诊断的发展现状与展望

车辆在运输过程中,一旦变速箱发生异常或故障,则导致变速箱失效而发生事故。以车辆变速箱为对象的故障诊断技术属于旋转机械故障诊断技术的应用领域,是基于机械故障诊断技术的发展而发展起来的产物。为此,简要介绍了国内外车辆变速箱故障诊断的发展现状和存在的问题,并对未来的车辆变速箱故障诊断研究与应用的发展方向进行了探讨,从而为我国的农用车辆故障诊断的发展提供一定的参考。     

格尔木水电一分厂微机监测与故障诊断

简介了全分布式控制网络构成的水电厂微机监测系统的结构、功能和故障诊断系统。它不仅能实时监测机组运行参数，且可对事故做出快速反应，大大提高了水电厂安全运行水平。由于网络采用总线拓扑结构和真正的全分布方式，因而在老电厂的技术改造中，不仅运行可靠、抗干扰能力强，且布置安装简便，投资省。