Title :
Study on the application of auto-associative neural network
Author :
Wang, Peijin ; Cox, Chris
Author_Institution :
Comput. Coll., Yantai Univ., China
fDate :
31 Aug.-4 Sept. 2004
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;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441629