@inproceedings{749a321215c84c03b509529b8f47ca4a,
title = "Fuzzy decision support system for electric utilities fault comprehensive evaluation in electric control system",
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, Electrci utilities, Evaluation, Fuzzy sets",
author = "Haiwen Yuan and Haibin Yuan and Xingshan Li",
year = "2006",
doi = "10.1109/RAMECH.2006.252677",
language = "英语",
isbn = "1424400244",
series = "2006 IEEE Conference on Robotics, Automation and Mechatronics",
booktitle = "2006 IEEE Conference on Robotics, Automation and Mechatronics",
note = "2006 IEEE Conference on Robotics, Automation and Mechatronics ; Conference date: 07-06-2006 Through 09-06-2006",
}