DocumentCode
436593
Title
Study on the application of auto-associative neural network
Author
Wang, Peijin ; Cox, Chris
Author_Institution
Comput. Coll., Yantai Univ., China
Volume
2
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
1570
Abstract
This paper presents an auto-associative neural network model, which is applied in sensor validation for water treatment plant. The AANN model is trained and tested by the field historical data, and some important conclusions are obtained. All of the analyses in this paper provide a basis for the application of AANN to detect sensors failure in other plants.
Keywords
industrial plants; neural nets; sensor fusion; water treatment; AANN model; auto-associative neural network; data preprocessing; industrial plant; sensor validation; water treatment plant; Aerospace industry; Chemical sensors; Circuit faults; Data preprocessing; Educational institutions; Electrical fault detection; Fault detection; Neural networks; Redundancy; Sensor phenomena and characterization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1441629
Filename
1441629
Link To Document