Fault detection and isolation using Multiple model parameter estimation

Philippe Weber (1) , Sylviane Gentil (1)

1 LAG - Laboratoire d'automatique de Grenoble

On line parameter estimation reflects the process state, but physical parameters are not usually easily estimated in the case of complex systems. This paper presents a sensor or actuator fault detection method based on a classical transfer function parameter estimation algorithm in discrete time domain. Redundant discrete time transfer functions are used to improve the residual generation. The increase of information by redundant equations allows the generation of a signature table. The fault detection and isolation (FDI) is achieved by the exploitation of this table, with a distance computation.

Mots clés: Fault detection; diagnosis and isolation; parameter estimation; actuator and sensor faults; fuzzy decision making

Domaines: Automatique / Robotique

Philippe Weber, Sylviane Gentil. Fault detection and isolation using Multiple model parameter estimation. CESA'98, Multiconference, Computational Engineering in Systems Applications, Vol.3, Apr. 1-4, 1998, Nabeul-Hammamet, Tunisia. pp.467-472. ⟨hal-00092869⟩