Title :
The research to the method of breakdown diagnosis and prediction in aluminum electrolysis process
Author :
Shaohua, Ma ; Jiejia, Li ; Chengdong, Wu ; Min, Li ; Ying, Li
Author_Institution :
Dept. of Autom. Control, Shenyang Archit. & Civil Eng., China
fDate :
6/22/1905 12:00:00 AM
Abstract :
The breakdowns in aluminum electrolysis have great effect on the quality and quantity of aluminum and cause great waste of electricity. This paper presents a new method to predict and diagnose the breakdowns, which takes the advantage of discrimination and parameter prediction theory. This new method is easy to realize in the computer control systems; this has great significance in improving the quality and quantity of aluminum and in saving the electricity
Keywords :
aluminium; electric breakdown; electrolysis; fault diagnosis; metallurgical industries; Al; aluminum electrolysis process; breakdown diagnosis; breakdown prediction; discrimination; parameter prediction theory; Aluminum; Automatic control; Control systems; Electric breakdown; Electrochemical processes; Instruments; Prediction theory;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.860065
