Adaptive observers based fault detection and isolation for an alcoholic fermentation process

The paper deals with fault detection and isolation in an alcoholic fermentation process. The dynamics involved are nonlinear and the faults are modelled as changes in the system parameters. The fault detection scheme requires combined state and parameter estimation. For this purpose a model reference based estimator is used to develop adaptive observers.