Active Fault Diagnosis based on Adaptive Degrees of Freedom χ 2 -statistic method

Quoc Hung Lu (1) , Soheib Fergani (1) , Carine Jauberthie (1)

1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite

This paper is concerned with an active fault diagnosis method is developed based on an adaptive fault detection approach using χ 2-statistics [1]. The system under consideration is linear discrete time-variant with sensor faults in the framework of mixed uncertainties (stochastic noises and bounded uncertainty for parameter matrices). The proposed method enhances the fault detection performance and provides the ability of localization and estimation of the detected fault. It provides also an on-line fault diagnosis with no delay in time instant with the computation time depending only on the computer performance.

Domaines: Systèmes dynamiques [math.DS]; Analyse numérique [math.NA]; Optimisation et contrôle [math.OC]; Traitement du signal et de l'image [eess.SP]; Automatique / Robotique; Santé publique et épidémiologie

Quoc Hung Lu, Soheib Fergani, Carine Jauberthie. Active Fault Diagnosis based on Adaptive Degrees of Freedom χ 2 -statistic method. 8th International Conference on Control, Decision and Information technologies (CoDIT'22), May 2022, Istanbul, Turkey. ⟨10.1109/CoDIT55151.2022.9804156⟩. ⟨hal-03689596⟩