Title :
Study on the application of auto-associative neural network
Author :
Wang, Pei-jin ; Cox, Chris
Author_Institution :
Coll. of Comput., Yantai Univ., China
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, 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 :
chemical engineering computing; chemical sensors; fault diagnosis; industrial plants; learning (artificial intelligence); neural nets; water treatment; autoassociative neural network model; neural net training; sensor validation; sensors failure detection; water treatment plant; Aerospace industry; Chemical sensors; Circuit faults; Data preprocessing; Electrical fault detection; Fault detection; Neural networks; Redundancy; Sensor systems; Testing;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1378605
