Fault detection using parameter estimation applied to a winding machine

Abstract

International audienceOn 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 exploitation of this table, achieved by a distance computation, allows the fault detection and isolation (FDI)