Fault Section Diagnosis Algorithm of Distribution Networks Based On Topology Identification     

LIN Jing dong  CAO Chang xiu  ZHANG Bang li  WU Jian lin 《保鲜与加工》2001,(5):51-54

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.  相似文献   

Work-hardening Mechanism of Non-magnetic High Manganese ZG25Mn18Cr4 Castings     

ZHANG Ding-fei  PENG Jian  YANG Jing  ZHANG Li  TANG Chang-fa 《保鲜与加工》2006,(11):78-80100

The important character of non-magnetic high manganese ZG25 Mn18Cr4 alloy is rapid work-hardening under external stress. With X-ray diffraction and TEM analysis, it is proved that the microstructures of both undeformed and deformed matrixes are austenite and carbide with some striation structure in the matrixes, the amount of stripes in the deformed matrix is obviously more than that in the undeformed matrix. Electronic diffraction analysis confirmed that the stripes in coarse austenite grains are high density lamination fault sheets. A great deal of lamination fault sheets produced by plastic deformation divides up austenite matrix, shortens the free distance of dislocation movement and results in the rapid work-hardening of ZG25Mn18Cr4 alloy.  相似文献   

Building Enviornmental Monitoring System With COM     

WANG Ji feng  PENG Dong bin 《保鲜与加工》2001,(4):48-50

This article presents an implement of component using COM technology for collecting environmental monitoring data in environment monitoring system. The component makes the separation of data collection and data analysis available.Simultaneously by using the interface of connectable object in COM,itmakes the cooperation of the environment monitoring software with other parts of fault management software available,and also the seamless connection.It improves the system's performance by adding extensibility and potential cooperatibility.  相似文献   

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

CHEN Ping  XlE Zhi-jiang  SUN Hong-yan 《保鲜与加工》2006,(5):8-11

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.  相似文献   

A Method for State Diagnosis of Grounding Grid     

LIU Yu-geng  TENG Yong-xi  CHEN Xian-lu  YUAN Tao 《保鲜与加工》2004,(2):92-95

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.  相似文献   

Knowledge Representation for Rotative Machine Fault Diagnosis Based on Semantic Net     

LI Tai fu  HUANG Mao lin  XIE Zhi jiang 《保鲜与加工》2001,(6):18-20

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.  相似文献   

MACHINE PARAMETER IDENTIFICATION AND FAULT DETECTION FOR THE ALTERNATOR SYSTEM     

Tu Zhiying Yu Chuzhong 《保鲜与加工》1988,(1)

In this paper, the machine( physical) parameters of the alternator system are on-line estimated on the basis of the derived system continuous-tims model, using Recursive Least-squares Estimation and Inverse Calculation Method proposed by Authors. Therefore, the estimated machine parameters can effectively track the changes of their true values and accomplish the fault detection for the alternator system. This paper gives a new way for machne parameter estimation and fault detection of the alternator systems.  相似文献   

Improved Fuzzy Algorithm for Excavator''s Elevating Controlling System     

HAN Li  YI Jiang neng  ZHOU Xiao feng 《保鲜与加工》2001,(6):67-70

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A New Adaptive Sequential Diagnosis Algorithm in the PMC Model     

Wang Xueqin  Zhou Liuding  Yang Xiaofan 《保鲜与加工》1996,(3):61-66

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.  相似文献   

Parsimonious Covering Probability Model for Turbogenerator Vibration Faulty Diagnosis     

ZHANG Bi de  SUN Cai xin  OU Jian  HU Xue song 《保鲜与加工》2002,(5):101-103107

The turbogenerator vibration faults have the character of variety. Many faults often occur synchronously. This paper introduces a diagnosing model based on parsimonious covering theory and probability. A model for turtogenerator's fault diagnosis is proposed. The availability of this method is proved by two fault diagnosis examples of turbogenerator. The results show that the model proposed can be used for multi_fault diagnosis together. It may make up shortage for some of expert systems and neural networks in some aspect. From the practice,this model has higher reliability and practicability.  相似文献