Development and Implementation of an Expert System for Remotely Accessing a Relational Database.

1988 ◽  
Author(s):  
Agustin Ortiz ◽  
Jr.
Keyword(s):  
Expert System ◽  
Relational Database

Research to Safety Evaluation Expert System of Hydraulic Engineering Metal Structures

2011 ◽  
Vol 48-49 ◽  
pp. 994-1001 ◽  
Author(s):  
Guang Ming Yang
Keyword(s):  
Expert System ◽  
Relational Database ◽  
Domain Knowledge ◽  
Safety Evaluation ◽  
Database System ◽  
Base System ◽  
Metal Structures ◽  
Knowledge Based ◽  
Knowledge Base System ◽  
Method Base

Combining the successful applications in AI, in this paper, an expert system is studied and designed for evaluating the safety of hydraulic metal structures, whose goal is compute the reliability of hydraulic metal structures. Applying the techniques of AI, a framework is made up for evaluating the safety of hydraulic metal structures. The framework of knowledge base system is designed and presented with the domain knowledge. Based on the theory of relational database, the conceptual and logical views of database system are designed and analysed. Additionally, method base system is designed. A practical example is given to illustrate the process of using this system. This system has features of practical and advanced and expand.

Research and Implementation of an Expert System for Fault Diagnosis of Fan Based on Knowledge Rule

2011 ◽  
Vol 201-203 ◽  
pp. 1989-1992
Author(s):  
Lei Wang ◽  
Tian Zhong Sui ◽  
Yu Song ◽  
Hai Xiang Zhao ◽  
Bo Ran Zhuang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Base ◽  
Relational Database ◽  
High Efficiency ◽  
Rule Based ◽  
Diagnosis System ◽  
Hybrid Reasoning ◽  
Fault Diagnosis System ◽  
And Function

An example of the rule-based expert system applied to the fan fault diagnosis is presented. The architecture and function of the fault diagnosis system are introduced. The expression of the fault diagnosis knowledge and the attribute of knowledge base based on the relational database have been studied. The hybrid reasoning technology was applied to the implementation of the diagnosis inference engine in the expert system. The presented fault diagnosis system is easy to modify the knowledge base with the experience accumulated in practice, and it has the advantages of expansibility, portability, concision, and high efficiency.

Interfacing a knowledge-based system to a large database

1989 ◽  
Vol 4 (1) ◽  
pp. 31-51 ◽  
Author(s):  
P. M. D. Gray ◽  
I. G. Archibald ◽  
K. Lunn
Keyword(s):  
Expert System ◽  
Relational Database ◽  
Large Database ◽  
End User ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Product Formulation ◽  
Front End ◽  
Mainframe Computer

AbstractThis paper describes the interfacing problem that arose in a Product Formulation expert system written in LISP that had to be interfaced to data in a relational database running on a separate mainframe computer. It surveys the different forms of coupling that are possible and emphasizes the advantages of tight navigational coupling over the more popular set-based coupling. It describes how Prolog was used to overcome the interfacing problems and to provide a customized front end to an end user, based on a navigational interface. It reviews the techniques of using Prolog and the likely obstacles, together with a look forward to databases using Frames or Objects.

scholarly journals A Plant Failure Diagnosis Expert System Written in Relational Database Manipulation Languages

1985 ◽  
Vol 21 (8) ◽  
pp. 842-848 ◽  
Author(s):  
Hiromitsu KUMAMOTO ◽  
Toshio SUZUKI ◽  
Koichi INOUE ◽  
Kenji IKENISHI
Keyword(s):  
Expert System ◽  
Relational Database ◽  
Failure Diagnosis ◽  
Database Manipulation

Expert system and relational database improve planning productivity

1992 ◽  
Vol 5 (3) ◽  
pp. 39-44 ◽  
Author(s):  
D. Ruiu ◽  
R. Divi ◽  
P. Katzberg ◽  
J. Katzberg
Keyword(s):  
Expert System ◽  
Relational Database ◽  
Improve Planning

Network switching and voltage evaluation using an expert system in ac railway systems

1992 ◽  
Vol 139 (1) ◽  
pp. 1 ◽  
Author(s):  
C.S. Chang ◽  
T.T. Chan ◽  
K.K. Lee
Keyword(s):  
Expert System ◽  
Railway Systems
Sign in / Sign up

Export Citation Format

Share Document