Implementation and Analysis Experts Warning System Based on the Fuzzy Reasoning Technology

Author

Gao Sheng ; Chen Yuchun ; Guo Yong ; Guo Shuxiang

Author_Institution

NARI (Beijing) Control Syst. Co., Ltd., Beijing, China

fYear

2014

fDate

15-16 June 2014

Firstpage

544

Lastpage

549

Abstract

According to the characteristics of expert in smart grid alarm system itself, to classify, alarm information classification, using the filtering and alarm compression technology to filter the useless information, the reliability of fuzzy production inference mechanism and introducing fault, improves the accuracy of fault diagnosis. Through a single event and event reasoning method, based on the knowledge of logic for reasoning about the alarm information judgement, processing and provides solutions for power system fault alarm information.

Keywords

alarm systems; expert systems; fault diagnosis; fuzzy reasoning; pattern classification; power engineering computing; smart power grids; alarm compression technology; alarm information classification; alarm information judgement; alarm information processing; event reasoning method; expert warning system; fault diagnosis; fuzzy production inference mechanism; fuzzy reasoning technology; logic knowledge; power system fault alarm information; smart grid alarm system; useless information filtering; Accidents; Alarm systems; Artificial intelligence; Cognition; Personnel; Real-time systems; Sulfur hexafluoride; Expert knowledge base; Fuzzy reasoning; Intelligent alarm; Warning classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Engineering Applications (ISDEA), 2014 Fifth International Conference on

Conference_Location

Hunan

Print_ISBN

978-1-4799-4262-6

Type

conf

DOI

10.1109/ISDEA.2014.129

Filename

6977659