A generic solution framework and a mixed model for selecting an expert system development tool

1997 ◽  
Vol 14 (3) ◽  
pp. 227-235 ◽  
Author(s):  
Jen-Her Wu
2014 ◽  
Vol 945-949 ◽  
pp. 2617-2622 ◽  
Author(s):  
Xu Yan Zhuang ◽  
Ya Yun Xu ◽  
Yong Bao

We always regard aircraft power supply system as the "blood system" of aircraft. It plays a very important role in aircraft work. In view of its fault diagnosis present situation and in order to improve fault diagnosis efficiency, we put forward to use expert system development tool CLIPS to build up fault diagnosis expert system. In this paper, we choose the power-supply system of Cirrus SR20 as diagnosis object, and choose CLIPS as development tool to build up knowledge base and inference engine. By using Eclips development platform to write interface programs and using CLIPS JNI to call CLIPS programs we successfully complete the expert system total performance including knowledge base, inference engine and interface.


2011 ◽  
Vol 38 (1) ◽  
pp. 597-609 ◽  
Author(s):  
B. Ruiz-Mezcua ◽  
A. Garcia-Crespo ◽  
J.L. Lopez-Cuadrado ◽  
I. Gonzalez-Carrasco

1992 ◽  
Vol 114 (1) ◽  
pp. 38-45
Author(s):  
S. Mills ◽  
C. Erbas ◽  
Y. Hurmuzlu ◽  
M. M. Tanik

The problems associated with engineering tasks are often too large and complex for application of conventional software methods, but are suitable to application of expert system methods. Development of custom expert system applications is expensive and difficult, but expert system development tools provide the basic components needed to construct an expert system. Such tools enable engineers to implement expert system applications by entering knowledge specific to the particular problem they are attempting to solve. Because the choice of a development tool can determine the success of the resulting expert system application, the characteristics of these tools and of the target problem must be clearly understood before a selection is made. An overview of expert systems and development tools is given, characteristics of some common engineering problems are discussed, and selection criteria for tools well suited to these problems are presented. Implementation of a rule-based advisor to assist with tool selection is discussed briefly.


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