Title :
Fault diagnosis for a class of chemical batch processes
Author :
Caccavale, F. ; Pierri, F.
Author_Institution :
Dipt. di Ing. e Fis. dell´´Ambiente, Univ. degli Studi della Basilicata, Potenza, Italy
Abstract :
This paper deals with the problem of fault diagnosis for a class of chemical reactions taking place in jacketed batch reactors. An integrated diagnosis scheme, using redundant temperature measurements and a bank of state observers, is adopted to detect, isolate and identify faults. A unified framework is developed to take into account faults affecting sensors, actuators and process. In order to test the effectiveness of the approach, a detailed simulation case study is developed.
Keywords :
adaptive control; batch processing (industrial); chemical reactors; fault diagnosis; observers; process control; temperature measurement; adaptive control; chemical batch process; chemical reaction; fault detection; fault diagnosis; fault identification; fault isolation; jacketed batch reactor; redundant temperature measurement; state observer; Actuators; Chemical processes; Chemical reactors; Chemical sensors; Fault detection; Fault diagnosis; Inductors; Mathematical model; Polymers; Testing; Fault diagnosis; adaptive observers; chemical batch reactors;
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2009.5160326