Development of expert system knowledge base to on-line diagnosis of rotor electrical faults of induction motors

2003 ◽  
Author(s):  
F. Filippetti ◽  
M. Martelli ◽  
G. Franceschini ◽  
C. Tassoni
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Induction Motors ◽  
On Line ◽  
Electrical Faults ◽  
System Knowledge

Principles and practice in verifying rule-based systems

1992 ◽  
Vol 7 (2) ◽  
pp. 115-141 ◽  
Author(s):  
Alun D. Preece ◽  
Rajjan Shinghal ◽  
Aïda Batarekh
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
State Of The Art ◽  
Knowledge Bases ◽  
Order Logic ◽  
First Order Logic ◽  
Rule Based ◽  
First Order ◽  
Rule Bases ◽  
System Knowledge

AbstractThis paper surveys the verification of expert system knowledge bases by detecting anomalies. Such anomalies are highly indicative of errors in the knowledge base. The paper is in two parts. The first part describes four types of anomaly: redundancy, ambivalence, circularity, and deficiency. We consider rule bases which are based on first-order logic, and explain the anomalies in terms of the syntax and semantics of logic. The second part presents a review of five programs which have been built to detect various subsets of the anomalies. The four anomalies provide a framework for comparing the capabilities of the five tools, and we highlight the strengths and weaknesses of each approach. This paper therefore provides not only a set of underlying principles for performing knowledge base verification through anomaly detection, but also a survey of the state-of-the-art in building practical tools for carrying out such verification. The reader of this paper is expected to be familiar with first-order logic.

Portability of an Expert System Knowledge Base

1989 ◽  
Vol 33 (5) ◽  
pp. 366-369
Author(s):  
Tony H. Haverda ◽  
Peter B. Reitmeyer ◽  
Newton C. Ellis
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
Knowledge Representation ◽  
Knowledge Base ◽  
Broad Spectrum ◽  
Operating Environments ◽  
Consistent Model ◽  
Domain Information ◽  
System Knowledge

To ensure the widest possible use of an expert system knowledge base, the knowledge base, in its final form, must be portable to a broad spectrum of user operating environments. Demonstrating that possibility was the objective of the research reported in this paper. Three cognitive issues, knowledge representation, inference mechanisms and problem solving procedures, as they pertain to portability were examined. Structuring the portability question in terms of these cognitive issues, two commercially available expert system shells, EXSYS and TI PC+, were used to ferret out problems and suggest practical solutions. Results determined that it is possible to formulate a consistent model of domain information in a knowledge base which is portable between shells.

scholarly journals Algorithm of Ontology Transformation to Concept Map for Usage in Semantic Web Expert System

2013 ◽  
Vol 14 (1) ◽  
pp. 80-87
Author(s):  
Olegs Verhodubs ◽  
Janis Grundspenkis
Keyword(s):  
Expert System ◽  
Semantic Web ◽  
Knowledge Base ◽  
Concept Map ◽  
Web Ontology Language ◽  
Subsequent Generation ◽  
Ontology Language ◽  
Owl Ontology ◽  
System Knowledge

Abstract The main purpose of this paper is to present an algorithm of OWL (Web Ontology Language) ontology transformation to concept map for subsequent generation of rules and also to evaluate the efficiency of this algorithm. These generated rules are necessary to supplement and even to develop SWES (Semantic Web Expert System) knowledge base. This paper is a continuation of the earlier research of OWL ontology transformation to rules.

Study on the Development and Application of Automobile Transmission Design Expert System

2011 ◽  
Vol 366 ◽  
pp. 352-356
Author(s):  
Nai Wei Zou ◽  
Xiu Min Yu
Keyword(s):  
User Interface ◽  
Expert System ◽  
Knowledge Base ◽  
Graphical User Interface ◽  
Design Calculation ◽  
Design Expert ◽  
System A ◽  
Input And Output ◽  
Transmission Design ◽  
System Knowledge

This paper introduces the development of transmission design expert system base on MATLAB. It is discussed in detail that the establishment of expert system knowledge base， input and output (I/O) interface， material database and parameter database. In the part of the knowledge base, such as modeling of transmission design calculation, building of material database and parameter database are expounded detailedly. The I/O interface is built with MATLAB “Graphical User Interface (GUI)” technology, which is good at organizing knowledge, so ensure the consistency and rationality between I/O interface and knowledge base. Furthermore, the I/O interface makes the communication between the subsystems more convenience. Finally, with the help of expert system, a (4 + 1) gears Manual Transmission is designed, The result shows that the transmission expert system can shorten automobile transmission design calculating time and improve the calculation precision.

Bayesian Diagnostic Network Model for Sliding Plug Door

2011 ◽  
Vol 219-220 ◽  
pp. 1496-1499 ◽  
Author(s):  
Hui Chao Shi ◽  
Long Tian ◽  
Liang Wang
Keyword(s):  
Complex System ◽  
Fault Diagnosis ◽  
Expert System ◽  
Bayesian Network ◽  
Knowledge Base ◽  
Network Model ◽  
Model Building ◽  
Bayesian Network Model ◽  
Structure Tree ◽  
System Knowledge

For constructing Bayesian diagnostic network model of complex system is a difficult course, we propose a Bayesian network model auto-construction method based on expert system knowledge base. Bayesian diagnostic network model was built by using the CM structure, and the diagnostic knowledge was organized by product structure tree. We have applied this method to fault diagnosis for sliding plug door, and tested our methodology on many examples of diagnostic problems of sliding plug door, which prove the efficiency of the Bayesian diagnostic network model and model-building method．

scholarly journals IMPLEMENTASI SISTEM PAKAR DIAGNOSA KERUSAKAN PADA CANON NP6650XX MENGGUNAKAN METODA DEMPSTER SHAFER

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Khaerul Manaf
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Knowledge Base ◽  
System Development ◽  
Computer Software ◽  
Software Tool ◽  
Theory Of Knowledge ◽  
Monitor Screen ◽  
System Knowledge

An expert system is a computer software that has a knowledge base. Where knowledge is taken from several experts with experience working for years on a particular field of expertise. Expert systems easier to develop and specifications are not too difficult, so it can be used by computers that exist todayThe purpose of this study to design a software tool in diagnosing damage to the machine canon NP 6650XX which creates the appearance of an error code on the monitor screen machine using Dempster Shafer Method. To achieve this, research is conducted by collecting the theories associated with this machine, based on the theory of knowledge, undertake steps that expert system development, identification, conceptualization, formalization, implementation and testingThe result is a software that can provide information about damage to the machine canon NP 6650XX which such damage can lead to the appearance of an error code on the monitor screen machine.  Keywords: Expert System, Knowledge, Canon Machinery, Error, Dempster Shafer.

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