Using nonlinear black-box models in fault detection

A method for fault detection is proposed using nonlinear black-box models. It is based on statistical tests derived from the local approach to change detection and the identification of black-box models. Partial physical knowledge, if available, can be combined with black-box models to handle the problem of over-parametrization.