Hybrid expert systems for monitoring and fault diagnosis

2002 ◽  
Author(s):  
R. Senjen ◽  
M. de Beler ◽  
C. Leckie ◽  
C. Rowles
Keyword(s):  
Fault Diagnosis ◽  
Expert Systems

Fault diagnosis in air defense artilleries using expert systems

1994 ◽  
Vol 11 (3) ◽  
pp. 177-186 ◽  
Author(s):  
Suk I. Yoo ◽  
Yong S. Choi ◽  
Sang H. Lee
Keyword(s):  
Fault Diagnosis ◽  
Expert Systems ◽  
Air Defense

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.

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