DocumentCode
2161207
Title
Research on fault diagnosis method based on Modified Elman Neural Network
Author
Li, Jiejia ; Zhou, Hao ; Guo, Tongying
Author_Institution
School of Information and Control Engineering, Shenyang Jianzhu University, Liaoning, 110168, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
1456
Lastpage
1459
Abstract
This paper presents fault diagnosis method in aluminum electrolysis based on Modified Elman Neural Network. According to the mechanism of fault occurring in aluminum electrolysis, time and type of fault is determined by neural network. Simulation results show that the fault diagnosis method based on Modified Elman Neural Network can predict fault during aluminum electrolysis rapidly and accurately. And it has a certain value in engineering applications.
Keywords
Aluminum; Anodes; Artificial neural networks; Data models; Electrochemical processes; Fault diagnosis; Resistance; Modified Elman Neural Network; aluminum electrolysis; fault diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5691755
Filename
5691755
Link To Document