Classical model-based fault detection schemes for linear multivariable systems require the definition of suitable residual functions. This paper shows the possibility of identifying residual generators even when the system model is unknown, by following a black-box approach. The result is obtained by using canonical input-output polynomial forms which lead to characterise in a straightforward fashion the basis of the subspace described by all possible residual generators. The performance of the proposed identification method is tested by means of Monte Carlo simulations.
Identification of residual generators for fault detection of linear dynamic models / S. Simani; R. Diversi; U. Soverini. - ELETTRONICO. - (2005), pp. 7651-7655. (Intervento presentato al convegno 44th IEEE Conference on Decision and Control and 8th European Control Conference tenutosi a Siviglia, Spagna nel 12-15 Dicembre 2005).
Identification of residual generators for fault detection of linear dynamic models
DIVERSI, ROBERTO;SOVERINI, UMBERTO
2005
Abstract
Classical model-based fault detection schemes for linear multivariable systems require the definition of suitable residual functions. This paper shows the possibility of identifying residual generators even when the system model is unknown, by following a black-box approach. The result is obtained by using canonical input-output polynomial forms which lead to characterise in a straightforward fashion the basis of the subspace described by all possible residual generators. The performance of the proposed identification method is tested by means of Monte Carlo simulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
