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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.242