车站信号控制设备故障诊断专家系统的研究与实现毕业论文外文翻译.docx

1、车站信号控制设备故障诊断专家系统的研究与实现 毕业论文外文翻译附录A外文资料 Development of Railway Station Signaling Control Equipment Fault Diagnosis Expert System Abstract Development and implementation of the station signaling control equipment fault diagnosis expert system are studied by the artificial intelligence and expert syste

2、m methods. On the basis of the current situation of station signaling computer monitoring system, the overall structure of the station signaling equipment fault diagnosis expert system is proposed, which consists of the knowledge base subsystem, machine reasoning subsystem, integrated database subsy

3、stem and man-machine interfacing subsystem. According to the types and characteristics of faults are established the fault mechanism analysis model based on the principle of logic circuits, the fault analysis model based on actual expert knowledge, the fault diagnosis & trend analysis model based on

4、 the equipment life mechanism and the complex fault diagnosis model based on the decision tree learning algorithm. The prototype system is developed with the object-oriented structural knowledge representation methods and the element classification development technology, thus laying a foundation fo

5、r development of the practical application system. Research and development to ensure the safety of railway transport station signal equipment maintenance system . To ensure trouble-free railway station signal equipment in good work, is our country railway currently facing a major issue. To improve

6、the maintenance level of railway signal system in our country, starting in the 90 s, has developed the TJ WX - type I and TJ WX - 2000 type microcomputer monitoring system. Since 2000, most of the electric centralized station by using the computer monitoring system, realize the real-time monitoring

7、for station signal equipment status ，has been basically achieve the goal of a modern sensor technology, field bus, computer network communication, database and software engineering, And through the main signal monitoring and recording equipment running status, grasp the current state of the equipmen

8、t for electricity department and accident analysis provides the basic scientific basis. But as a result of the system and there is no perfect condition monitoring and fault diagnosis in a bodys comprehensive function, makes a lot of complicated equipment failure and driving, and analyzing the cause

9、of the accident still need to rely on artificial experience. So only on the existing computer monitoring system, can not meet modern electricity implement status maintenance management of the overall goal of a black box. To this end, the ministry of railways in 2004 put forward the research and deve

10、lopment railway station signal equipment fault diagnosis expert system project. Focus on the overall structure of the fault diagnosis expert system design, the main model and the method of fault diagnosis, and the prototype of the system implementation content such as software development were studi

11、ed. The project through to the railway station signal equipment failure mechanism analysis, the corresponding fault diagnosis model is established and the method, and by using expert system theory and method to develop the corresponding fault diagnosis intelligent analysis application software syste

12、m. A: The overall structure of the expert system for railway station signal equipment failure Because of the complexity of the railway station signal system equipment failure, according to the basic composition principle of expert system, the design of the railway station signal equipment fault diag

13、nosis expert system of general structure, as shown. This expert system is mainly composed of knowledge acquisition subsystem, equipment condition monitoring data import, subsystems of knowledge base, reasoning machine system, integrated database and function modules such as human-computer interactio

14、n interface subsystem. 1.1Knowledge acquisition subsystem function module The main module of empirical knowledge and professional knowledge in the field of acquisition, analysis and processing, and other functions, to provide knowledge base of expert system diagnosis knowledge and rules. Knowledge a

15、cquisition process can be completed by artificial directly, also can indirectly through some knowledge acquisition method. This article USES the method of fault diagnosis knowledge acquisition mainly includes: based on the principle of the circuit model and the logic of the failure mechanism of know

16、ledge acquisition method, based on the experience of the maintenance personnel fault handling the actual method of knowledge acquisition, knowledge acquisition method based on the mechanism of equipment life, as well as self-learning knowledge acquisition method based on the examples of statistical

17、information, etc. 1.2 The equipment condition monitoring data import function module The main module from the railway station signal microcomputer monitoring system for various working status information of signal equipment, provide necessary basic data for fault diagnosis expert system. It through

18、the interface software for data transformation, checking and comprehensive database of data import function. At present our country most of the station USES is TJ WX - 2000 type microcomputer monitoring system, real-time monitoring of data information is classified into analog two and quantity of th

19、e switch. Switch data mainly includes the control button said equipment operating status, the console (route, occlusion and driving, shunting) on the performance of the state, the key to all kinds of signal circuit relay state, train signal main filament broken wires and machinery room environment m

20、onitoring data of the turntable control switch quantity. Analog data mainly includes power supply panel of input and output voltage, current, frequency, power and voltage phase Angle, the orbit of track circuit voltage of the relay, switch machine in action current switch conversion process, the fau

21、lt current and action time, cable core of insulation voltage, power supply panel output power supply of leakage current, on-site properties rather than stuff coded and frequency shift of automatic block sends the voltage, current, frequency, carrier frequency and low frequency and environment condit

22、ions (temperature, humidity, etc.) analog monitoring data. Knowledge subsystem module The main module is to store and manage equipment fault diagnosis knowledge from knowledge acquisition subsystem module. Includes a variety of different fault types of signal equipment diagnosis knowledge processing

23、 unit, for inference engine diagnostic analysis, used to solve the problem. Knowledge base management functions, the main implementation of knowledge unit, sorting, access, retrieval, add, delete, modify, and other functions. Integrated data subsystem module Integrated data from main storage and man

24、agement device status information (data) acquisition function module of the imported equipment actual working state information, the external input and output information from human-computer interaction module and reasoning process of information, etc. Colleagues will also be stored diagnostic reaso

25、ning results and the user to question all kinds of response system display information. Due to the content of the comprehensive database in system operation process is constantly changing, so is also called dynamic database. The integrated database in the drive fault diagnosis reasoning mechanism of

26、 the failure phenomenon, it will also be active action object as a diagnostic system, fault diagnosis reasoning process is up and running. The man-machine interface subsystem function module Man-machine interface is the scene equipment maintenance personnel and the expert system for interactive info

27、rmation window. Fault phenomenon in the choice to drive in the process of diagnosis reasoning mechanism under the condition of the modules main function is to achieve a variety of fault diagnosis of category (such as circuit equipment fault diagnosis, switch equipment fault diagnosis, etc.), complex

28、 fault diagnosis, fault diagnosis results, fault processing information prompt, fault analysis of graphic information, statistical analysis, equipment condition monitoring data import, knowledge base maintenance, database maintenance, system initialization, and system help information such as the in

29、teraction function. Second: The implementation of railway station signal equipment fault diagnosis expert system method 2.1 Of logic simulation technology on the basis of the principle of circuit fault mechanism analysis method Actual electric station signal system of circuit made up of millions of

30、electrical components, there are many different kinds of fault. For 6502 electric centralized practice common 22 species caused by circuit failure types, more than 150 kinds of failure phenomenon, this study established a model based on circuit simulation mechanism analysis of fault diagnosis knowle

31、dge base. A complete circuit is realized by using the method of locating fault diagnosis, need to constitute the state of all components of the circuit, and the real-time monitoring, it is actually quite difficult. Used in the actual system development can be set up processing method of the dynamic

32、database, namely the microcomputer monitoring system is not monitoring components status for man-machine interactive set to normal, according to the key real-time monitoring data to realize fault diagnosis. 2.2 Based on expert experience knowledge of circuit fault mechanism analysis method Expert kn

33、owledge is on-site maintenance personnel through long-term practice summarizes the experience of the knowledge and methods. For circuit fault diagnosis knowledge of expert experience method basically has: disk compression method, diagnosis method, the step voltage, current, voltage, diagnostics, resistance diagnosis method, short cir