Fuzzy rule-based expert system for power system fault diagnosis

1997 ◽  
Vol 144 (2) ◽  
pp. 186 ◽  
Author(s):  
H. Monsef ◽  
A.M. Ranjbar ◽  
S. Jadid
2014 ◽  
Vol 945-949 ◽  
pp. 1707-1712
Author(s):  
Bin Shen ◽  
Shu Yu Zhao ◽  
Jia Hai Wang ◽  
Juergen Fleischer

Based on the authors previous work of developing an expert system for fault diagnosis of CNC machine tool, this paper studied the theory and method of CNC remote fault diagnosis expert system based on B/S, and presents schema and structure of the expert system in detailed. Case based reasoning is used for the multi-alarm diagnosis, and rule based reasoning is used for single-alarm diagnosis. At last fault diagnosis expert system was designed and developed making use of C# and ASP.NET.


2019 ◽  
Vol 18 (4) ◽  
pp. 415-438
Author(s):  
Nurul Atikah Mohd Sharif ◽  
Norazura Ahmad ◽  
Nazihah Ahmad ◽  
Wan Laailatul Hanim Mat Desa ◽  
Khaled Mohamed Helmy ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Mohammad Hossein Fazel Zarandi ◽  
Neda Mohammadhasan ◽  
Susan Bastani

A fuzzy rule-based expert system is developed for evaluating intellectual capital. A fuzzy linguistic approach assists managers to understand and evaluate the level of each intellectual capital item. The proposed fuzzy rule-based expert system applies fuzzy linguistic variables to express the level of qualitative evaluation and criteria of experts. Feasibility of the proposed model is demonstrated by the result of intellectual capital performance evaluation for a sample company.


Author(s):  
José E. de Tomas Sánchez ◽  
Sergio de Tomás Marín ◽  
Victoriano Peiró Clavell

Sign in / Sign up

Export Citation Format

Share Document