Title :
A methodology for process fault detection
Author :
Petersen, Ian R. ; McFarlane, Duncan C.
Author_Institution :
Sch. of Electr. Eng., Australian Defence Force Acad., Canberra, ACT, Australia
Abstract :
This paper presents a methodology for the online detection of manufacturing process abnormalities using simple process models. An illustration of this methodology is given in the detection of abnormal reactor temperature variations in an ethoxolate reactor
Keywords :
chemical technology; fault location; online operation; process monitoring; temperature measurement; abnormal reactor temperature variation detection; ethoxolate reactor; manufacturing process abnormalities; online detection; process fault detection; Australia; Equations; Fault detection; Inductors; Manufacturing processes; Pulp manufacturing; State-space methods; Transfer functions; Uncertain systems; Uncertainty;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.833337
