Title :
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
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;
Conference_Titel :
Intelligent Systems Design and Engineering Applications (ISDEA), 2014 Fifth International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-1-4799-4262-6
DOI :
10.1109/ISDEA.2014.129
