An On-Line Approximation Approach to Fault Monitoring, Diagnosis and Accommodation

Format:

Conference/Event

Author/Creator:

Polycarpou, Marios M., author.

Conference Name:

Aerospace Atlantic Conference & Exposition (1994-04-19 : Dayton, Ohio, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1994

Summary:

AbstractThe detection, diagnosis, and accommodation of system failures or degradations is becoming increasingly more important in modern engineering problems. This paper presents a general framework for constructing automated fault diagnosis and accommodation architectures using on-line approximators and adaptation/learning schemes. In this framework, neural network models constitute an important class of on-line approximators. Changes in the system dynamics are monitored by an on-line approximation model, which is used not only for detecting but also for accommodating failures. A systematic procedure for constructing nonlinear estimation algorithms and stable learning schemes is developed and illustrated by a simulation example

Notes:

Vendor supplied data

Publisher Number:

941217

Access Restriction:

Restricted for use by site license