A fuzzy expert system for fault diagnosis in electric distribution systems

2002 ◽  
Author(s):  
Jian-Liang Chen ◽  
N.D. Rao
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Distribution Systems ◽  
Fuzzy Expert System ◽  
Electric Distribution

scholarly journals Fault diagnosis and identification in the distribution network using the fuzzy expert system

2018 ◽  
Vol 20 (4) ◽  
pp. 621-629 ◽  
Author(s):  
Slaven Kaluđer ◽  
Krešimir Fekete ◽  
Lajos Jozsa ◽  
Zvonimir Klaić
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Distribution Network ◽  
Fuzzy Expert System

A fuzzy expert system for the integrated fault diagnosis

2000 ◽  
Vol 15 (2) ◽  
pp. 833-838 ◽  
Author(s):  
Heung-Jae Lee ◽  
Deung-Yong Park ◽  
Bok-Shin Ahn ◽  
Young-Moon Park ◽  
Jong-Keun Park ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Fuzzy Expert System

Constructing a Web-Based Fuzzy Expert System for Aeroengine Fault Diagnosis

2009 ◽  
Vol 16-19 ◽  
pp. 753-757
Author(s):  
Jian Rong Wang ◽  
Yang Zhang ◽  
Tian Yu You ◽  
Shou Ming Hou ◽  
Wan Shan Wang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Interface Layer ◽  
Fuzzy Expert System ◽  
Web Interface ◽  
Web Based ◽  
Practical Applications ◽  
Design And Implementation ◽  
Current State ◽  
Reasoning Mechanism

Based on the analysis of current state of aeroengine fault diagnosis, this paper proposes the design and implementation of a web-based fuzzy expert system called WFESAFD, which is focused on the monitoring and fuzzy fault diagnosis of aeroengine. The system architecture and its components, such as web interface layer, monitor, knowledge acquisition and management, integrated data base, reasoning mechanism and knowledge base are illustrated. The detail process of system implementation and practical applications of WFESAFD are presented to illustrate and prove the proposed system’s applicability. Running results show the feasibility and reliability of the framework, which will be helpful to integrate the aeroengine diagnosis knowledge, improve the diagnosis efficiency and decrease the aeroengine diagnosis cost remarkably.

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