An on-line approximation approach to fault diagnosis and accommodation

This paper presents a methodology for constructing automated fault diagnosis and accommodation architectures using on-line approximators and adaptation/learning schemes. Changes in the system dynamics are monitored by an on-line approximation model, which is used not only for detection but also for accommodation of any failures. A systematic procedure for constructing nonlinear estimation algorithms and stable learning schemes is developed, and simulation studies are used to illustrate the results.