DocumentCode :
2756771
Title :
Fuzzy Decision Support System for Electric Utilities Fault Comprehensive Evaluation in Electric Control System
Author :
Haiwen, Yuan ; Haibin, Yuan ; Xingshan, Li
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing
fYear :
2006
fDate :
Dec. 2006
Firstpage :
1
Lastpage :
6
Abstract :
Aim at existing fault evaluation practice for electric utilities diagnosis and maintenance prediction, a novel fuzzy decision support system (FDSS) architecture based on simulation platform is presented. The specialty is that the information of all the fault factors that influence component failure are simulated through the platform according to specific requirement. FDSS architecture and theoretical analysis model using fuzzy decision engine method is presented, all factors used for decision making are taken into consideration and determined by the severity of failure through corresponding consequence analysis using fuzzy algorithm. A simplified application evaluation process is introduced to show the feasibility and potential benefits. The proposed FDSS can deal with test or field evaluation process and can achieve comprehensive evaluation result, and the result can be used for electric utilities diagnosis and maintenance guidance as well as provide reference for further operation in electric control system design suggestion
Keywords :
decision support systems; failure analysis; fault diagnosis; fuzzy set theory; power system control; power system faults; power system simulation; decision making; decision support systems; electric control system design; electric utilities diagnosis; electric utility; fault comprehensive evaluation; fuzzy algorithm; fuzzy decision engine method; fuzzy decision support system; fuzzy sets; maintenance prediction; Algorithm design and analysis; Control systems; Decision support systems; Engines; Failure analysis; Fault diagnosis; Fuzzy control; Fuzzy systems; Power industry; Predictive models; decision support systems; electrci utilities; evaluation; fuzzy sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Automation and Mechatronics, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0024-4
Electronic_ISBN :
1-4244-0025-2
Type :
conf
DOI :
10.1109/RAMECH.2006.252677
Filename :
4018793
Link To Document :
بازگشت