Key Technologies Study for Automobile Fault Diagnosis Expert System

2012 ◽  
Vol 457-458 ◽  
pp. 913-920
Author(s):  
Li Li Zhang ◽  
Jiang Wei Chu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Representation ◽  
Intelligent System ◽  
New Technology ◽  
Large Collection ◽  
Inference Method ◽  
Development Direction ◽  
Key Technologies ◽  
Inference Strategy

Expert system for automobile fault diagnosis is an intelligent system, and its key technologies are knowledge acquisition, knowledge representation and inference strategy. Based on large collection of papers which on abroad or on home, some resolved methods have been presented in this paper, including improving of traditional method such as automotive acquisition of fault rules, combined knowledge representation and inference method diversification, applying of new theory or new technology such as case-base expert system, fuzzy-base expert system, neural network-base expert system and action-base expert system and so on. And then put forward to that intellectualization, cyberization and integration are the future development direction of automobile fault diagnosis expert system.

Design of Fault Diagnosis Expert System of Transformer

2013 ◽  
Vol 291-294 ◽  
pp. 2557-2561
Author(s):  
Tao Sun ◽  
Hai Bo Liu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Representation ◽  
System Design ◽  
System Of Systems ◽  
Knowledge Representation And Reasoning ◽  
Design Knowledge ◽  
Systems Architecture ◽  
Fault Diagnosis System ◽  
Transformer Fault

The transformer fault diagnosis expert system design knowledge representation and reasoning mechanisms are the key issue. Characteristics of transformer fault diagnosis system based on human experts, learning on the basis of the human expert diagnosis of transformer faults, to build a transformer fault diagnosis expert system of systems architecture, knowledge representation and reasoning mechanisms for a more detailed analysis and discussion.

An Expert System Shell for Fault Diagnosis

Robotica ◽  
2001 ◽  
Vol 19 (6) ◽  
pp. 669-674 ◽  
Author(s):  
Jie Yang ◽  
Chenzhou Ye ◽  
Xiaoli Zhang
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Representation ◽  
Expert Systems ◽  
Knowledge Representation And Reasoning ◽  
Multiple Models ◽  
Object Model ◽  
Knowledge Models ◽  
Expert System Shell

Traditional expert systems for fault diagnosis have a bottleneck in knowledge acquisition, and have limitations in knowledge representation and reasoning. A new expert system shell for fault diagnosis is presented in this paper to develop multiple knowledge models (object model, rules, neural network, case-base and diagnose models) hierarchically based on multiple knowledge. The structure of the expert system shell and the knowledge representation of multiple models are described. Diagnostic algorithms are presented for automatic modeling and hierarchical reasoning. It will be shown that the expert system shell is very effective in building diagnostic expert systems.

Application of Artificial Intelligence in Intelligent Buildings

2013 ◽  
Vol 347-350 ◽  
pp. 466-470 ◽  
Author(s):  
Xiang Ning Wang ◽  
Qing Lin ◽  
Jing Chen
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Fault Diagnosis ◽  
Expert System ◽  
Air Conditioning ◽  
Intelligent System ◽  
Intelligent Building ◽  
Typical Application ◽  
Intelligent Buildings ◽  
Conditioning Control

This paper introduced concept of artificial intelligence and intelligent building at first. Then analyzed the necessity of using AI in the intelligent buildings. At last introduced some typical application of AI in intelligent building such as delightful interior light-environments control system, air conditioning load calculate system and air conditioning control system and fault diagnosis expert system for building intelligent system.

Parallel Processing Applications in Expert Systems in Power Systems

1995 ◽  
Vol 32 (2) ◽  
pp. 154-162
Author(s):  
J. P. Wang ◽  
J. Trecat
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Parallel Processing ◽  
Power Systems ◽  
Expert Systems ◽  
Inference Method ◽  
Problem Size ◽  
Rule Based ◽  
Model Based

Parallel processing applications in expert systems in power sytems Parallel processing is widely used to reduce computation times. In its application to non-numerical problems, such as expert systems, inference method and problem size must be considered. A fault diagnosis expert system is considered as an example, with either a model-based or a rule-based inference, applied to power systems of various sizes.

Study on Fuzzy Inference Method for Fault Diagnosis Expert System

2013 ◽  
Vol 658 ◽  
pp. 639-642
Author(s):  
Xu Dong Song ◽  
Wei Shao ◽  
Zhan Zhi Qiu ◽  
Yan Xia Chen
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Base ◽  
Confidence Level ◽  
Fuzzy Inference ◽  
Word Segmentation ◽  
Membership Degree ◽  
Inference Method ◽  
Lexical Analysis

In this paper, a new fuzzy inference method for fault diagnosis expert system is proposed. Firstly, fault antecedents were processed by lexical analysis including removing redundant vocabulary and word segmentation. Secondly, for the purpose of improving the precision of the inference, we used the membership degree, and defined the confidence level of antecedent and the confidence level of conclusion and the closeness degree of the knowledge base rules. Finally we gave the reasoning processes and algorithms.

Research on Intelligent Monitoring and Fault Diagnosis System Based on Multi-Agent Model

2013 ◽  
Vol 401-403 ◽  
pp. 1466-1469
Author(s):  
Yu Dong Yang ◽  
Cong Guo Ma
Keyword(s):  
Fault Diagnosis ◽  
Agent Technology ◽  
Intelligent Monitoring ◽  
Diagnosis System ◽  
Agent Model ◽  
Development Direction ◽  
Key Technologies ◽  
Multi Agent ◽  
Fault Diagnosis System ◽  
Is Development

the system functions of intelligent monitoring and fault diagnosis based on Multi-Agent model were constructed, multi-Agent technology is development direction of fault diagnosis, the paper analyzed task decomposition and composition and realization method and key technologies of intelligent diagnosis and monitoring system, the model has a unified information interface, and builds the system based on different function components according to different monitoring objects, It will have a huge role in the realization of intelligent fault diagnosis equipment, and possess a certain guiding significance to the establishment of the intelligent monitoring and diagnosis system.

Fault Diagnosis Expert System Applied on Machinery Industry

2013 ◽  
Vol 347-350 ◽  
pp. 461-465
Author(s):  
Ji Ming Huang ◽  
Min Jie Chai ◽  
Rong Ying Zhang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Expert Systems ◽  
Hydraulic System ◽  
Machinery Industry ◽  
Rotating Machine ◽  
Key Technologies ◽  
Diagnosis Method ◽  
Design Idea

This paper introduced the fault diagnosis technology and analyzed the shortcomings of traditional fault diagnosis method. Then simply introduced the intelligence fault diagnosis expert system. At last respectively introduced the design idea of three intelligence fault diagnosis expert systems, they respectively is used in rotating machine, mechanical maintenance and hydraulic system. At the same time the key technologies of each intelligence fault diagnosis expert system was respectively introduced.

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