On-Board Component Fault Detection and Isolation Using the Statistical Local Approach
Résumé
We describe both the key principles and real application examples of a unified theory which allows us to perform the on-board incipient fault detection and isolation tasks involved in monitoring for condition-based maintenance. We stress that, when designing detection algorithms, the main conceptual task is to select a convenient estimating function. ML, LS, IV and subspace identification methods are addressed in this perspective.