DocumentCode
479816
Title
Application of the Elman Network and Synthetically Relational Analysis to Fault Diagnosis for Suction Fan
Author
Rao, Hong ; Fu, Mingfu ; Xie, Mingxiang
Author_Institution
Inf. Eng. Sch., Nanchang Univ., Nanchang
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
941
Lastpage
944
Abstract
The theory of Elman network and gray relational analysis was introduced; a method based on the synthetically relational analysis was presented and applied to fault diagnosis of Suction Fan. The same testing fault mode was diagnosed by both the method of Elman network and the synthetically relational analysis respectively. The result shows that the fault diagnosis based on the synthetically relational analysis is feasible and simple.
Keywords
fans; fault diagnosis; grey systems; network theory (graphs); Elman network; fault diagnosis; gray relational analysis; suction fan; synthetic relational analysis; synthetically relational analysis; testing fault mode; Computer science; Fault diagnosis; Frequency conversion; Information analysis; Joining processes; Neural networks; Power engineering and energy; Software engineering; Testing; Time frequency analysis; Elman network; fault diagnosis; suction fan; synthetically relational analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.242
Filename
4721905
Link To Document