Research of an Expert System for Fault Diagnose of the Airborne Electronic Devices Based on VC ++ and CLIPS

2013 ◽  
Vol 333-335 ◽  
pp. 1767-1770
Author(s):  
Guang Dong Zha ◽  
Li Feng Diao ◽  
Xu Peng Liu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Information Exchange ◽  
Electronic Devices ◽  
Test Model ◽  
Fault Diagnose ◽  
External Function ◽  
Test Parameters ◽  
Machine Interface ◽  
Fault Information

In order to solve the problems that diagnosis cycle is very long and diagnostic accuracy is very low dependent on the maintenance man to diagnose fault by experience, an expert system for fault diagnose of a planes airborne electronic devices based on VC++ and CLIPS is proposed. The information exchange is realized between VC++ and CLIPS through writing external function of CLIPS by VC++ platform. The fact base can be generated quickly through acquiring test parameters from test model according to the fault information template base. The expert system established by VC++ platform to write man machine interface codes and load CLIPS to realize fault reasoning can realize the fast fault diagnosis for the airborne electronic devices.

Design of Urban-Rural Power Grid Dispatching Fault Diagnosis Expert System

2014 ◽  
Vol 539 ◽  
pp. 659-663 ◽  
Author(s):  
Xiu Feng Xu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Automatic System ◽  
Power Grid ◽  
The Core ◽  
Scada System ◽  
Urban Rural ◽  
Fault Inference ◽  
Fault Information ◽  
Core Part

The paper designs the urban-rural power grid dispatching fault diagnosis expert system which acquires fault information by SCADA system of automatic system of urban-rural power grid, and uses artificial intellegence method to analyze fault information and make fault diagnosis. The paper implements the core part of the fault expert systemthe design of knowledge base and fault inference engine.

Research of Fault Diagnosis System for NC Machine Tool

2012 ◽  
Vol 220-223 ◽  
pp. 364-367 ◽  
Author(s):  
Lin Yang ◽  
Wei Wu ◽  
Rui Nan Wu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Design Method ◽  
Numerical Control ◽  
Theoretical Research ◽  
Nc Machine Tool ◽  
C Programming ◽  
Nc Machine ◽  
Machine Interface ◽  
Control Machine

As the theoretical research and practical application of the key technology and bottlenecks, Fault diagnosis technology get the focus of manufacturing field at home and abroad and have achieved some innovative research achievements[1]. This paper analyzed the failure causes of numerical control machine, linked the fault tree and fault diagnosis expert system knowledge base, develops numerical control machine fault diagnosis expert system which has a friendly man-machine interface, reasonable reasoning method and explanation function by using C programming language and object-oriented program design method.

Design and Implementation of Power Grid Dispatching Fault Diagnosis Knowledge Base

2014 ◽  
Vol 552 ◽  
pp. 170-175
Author(s):  
Xiu Feng Xu ◽  
Yan Yan Wu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Base ◽  
Power Grid ◽  
The Core ◽  
Scada System ◽  
Urban Rural ◽  
Fault Inference ◽  
Fault Information ◽  
Core Part

The paper designs the urban-rural power grid dispatching fault diagnosis expert system which acquires fault information by SCADA system of automatic system of urban-rural power grid, and uses artificial intellegence method to analyze fault information and make fault diagnosis. The paper implements the core part of the fault expert system—the design of knowledge base and fault inference engine.

Fault Diagnosis Expert System of Continuous Miner Hydraulic System

2012 ◽  
Vol 619 ◽  
pp. 463-466
Author(s):  
Xiao Huo Li ◽  
Ren Peng Tang ◽  
Yong Dong Sha ◽  
Shuai Wi Bai ◽  
Jing Hui Zhang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Hydraulic System ◽  
Optimization Method ◽  
Sql Server ◽  
Continuous Miner ◽  
Sql Server 2000 ◽  
Maintenance Time ◽  
Fuzzy Neural ◽  
Machine Interface

In order to fine working states of a continuous miner hydraulic system, diagnose quickly and effectively its faults, reduce failure rate, save maintenance time and improve the reliability and productivity of a continuous miner, the GA-PSO hybrid optimization method of fuzzy neural network is used in fault diagnosis of a continuous miner hydraulic system in the paper, a intelligent fault diagnosis expert system of a hydraulic system is designed by means of taking VC 6.0 as the programming platform, using SQL SERVER 2000 as database, embedding MATLAB7.1 in the internal. The system is simple in man-machine interface and good in man-machine conversation, capable of analyzing accurately and judging properly failures of a continuous miner hydraulic system.

A Fault Diagnosis Expert System for Building Chillers

2017 ◽  
Vol 11 (4) ◽  
pp. 270
Author(s):  
C. N. Tan ◽  
C. F. Tan ◽  
M. A. Abdullah
Keyword(s):  
Fault Diagnosis ◽  
Expert System

Application of expert system techniques to fault diagnosis

1984 ◽  
Vol 29 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Hiromitsu Kumamoto ◽  
Kenji Ikenchi ◽  
Koichi Inoue ◽  
Ernest J. Henley
Keyword(s):  
Fault Diagnosis ◽  
Expert System

General Fault Monitoring and Diagnosis Expert System Based on Fault Tree and Multi-Sensor Information

2011 ◽  
Vol 121-126 ◽  
pp. 4481-4485
Author(s):  
Ai Yu Zhang ◽  
Xiao Guang Zhao ◽  
Lei Zhang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Expert Knowledge ◽  
Sensor Failure ◽  
Fault Trees ◽  
Intelligent Algorithms ◽  
Monitoring And Diagnosis ◽  
Backward Reasoning ◽  
Fault Monitoring ◽  
Sensor Information

Due to the limited generality of traditional fault diagnosis expert system and its low accuracy of extracting failure symptoms, a general fault monitoring and diagnosis expert system has been built. For different devices, users can build fault trees in an interactive way and then the fault trees will be saved as expert knowledge. A variety of sensors are fixed to monitor the real-time condition of the device and intelligent algorithms such as wavelet transform and neural network are used to assist the extraction of failure symptoms. On the basis of integration of multi-sensor failure symptoms, the fault diagnosis is realized through forward and backward reasoning. The simulation diagnosis experiments of NC device have shown the effectiveness of the proposed method.

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