Title :
A fault detection and isolation method for complex industrial systems
Author :
Magni, L. ; Scattolini, R. ; Rossi, C.
Author_Institution :
Dipartimento di Inf. e Sistemistica, Pavia Univ., Italy
fDate :
11/1/2000 12:00:00 AM
Abstract :
A method for the fault detection in complex industrial systems is presented. The plant devices, the sensors, the actuators, and diagnostic tests are described as discrete-event systems. A formal composition rule of these models is given and an inference procedure for the identification and isolation of the faults is discussed. Temporal information is also considered to speed up the fault isolation procedure and, in some cases, to uniquely identify faults with the same static fault signature
Keywords :
discrete event systems; fault diagnosis; finite state machines; process control; process monitoring; complex industrial systems; diagnostic tests; fault detection and isolation method; formal composition rule; inference procedure; temporal information; Books; Costs; Fault detection; Fault diagnosis; Government; Information analysis; Safety; Sensor phenomena and characterization; Sensor systems; Signal analysis;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/3468.895922
