Title :
Optimal input design for fault detection and diagnosis
Author :
Sadegh, P. ; Madsen, H. ; Holst, J.
Author_Institution :
Inst. of Math. Modeling, Tech. Univ. Denmark, Lyngby, Denmark
Abstract :
In the paper, the design of optimal input signals for detection and diagnosis in a stochastic dynamical system is investigated. The design is based on maximization of Kullback measure between the model under fault and the model under normal operation conditions. It is established that the optimal input design for change detection when the magnitude of change is small is equivalent to optimal input design for parameter estimation
Keywords :
fault diagnosis; optimisation; stochastic systems; Kullback measure maximization; change detection; fault detection; fault diagnosis; optimal input design; optimal input signals; parameter estimation; stochastic dynamical system; Fault detection; Fault diagnosis; Mathematical model; Monitoring; Parameter estimation; Signal design; Signal detection; Statistics; Stochastic processes; Testing;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.520927
