DocumentCode
1569711
Title
Automated diagnostic system using graph clustering algorithm and fuzzy logic method
Author
Bilski, Piotr
Author_Institution
Dept. of Inf., Warsaw Agric. Univ., Warsaw
fYear
2007
Firstpage
779
Lastpage
782
Abstract
The paper presents the method of the automated diagnostic system generation using fuzzy logic supported by the graph clustering algorithm. Algorithm of the learning data processing using self-organization method and fuzzy logic module generation are presented. Application of the method for the diagnostics of the analog system (DC motor) is presented and its advantages and disadvantages are considered. Conclusions and future prospects are included.
Keywords
fuzzy set theory; graph theory; learning (artificial intelligence); pattern clustering; DC motor; analog system; automated diagnostic system generation; fuzzy logic module generation; graph clustering algorithm; learning data processing; self-organization method; Clustering algorithms; DC motors; Data mining; Data processing; Decision trees; Fuzzy logic; Informatics; Machine learning; Machine learning algorithms; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuit Theory and Design, 2007. ECCTD 2007. 18th European Conference on
Conference_Location
Seville
Print_ISBN
978-1-4244-1341-6
Electronic_ISBN
978-1-4244-1342-3
Type
conf
DOI
10.1109/ECCTD.2007.4529712
Filename
4529712
Link To Document