Model reconstruction using POD method for gray-box fault detection

Abstruct-This paper describes using the Proper Orthogonal Decomposition (POD) method to create low-order dynamical models for the Model Filter component of Beacon-based Exception Analysis for Multi-missions (BEAM). The POD modeling procedure is described, and its usefulness in creating simple low-order dynamical models of a complex system. The POD procedure will be shown on an example problem of Burgers' Equation. It will be demonstrated that stable low-order dynamical models can be created even in the presence of noise commonly found in experimental data.

[1]  George Em Karniadakis,et al.  DPIV/T-driven convective heat transfer simulation , 2002 .

[2]  Han Park,et al.  Gray-box approach to fault diagnosis of dynamical systems , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

[3]  Mark James,et al.  BEAM: technology for autonomous self-analysis , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

[4]  R. Preisendorfer,et al.  Principal Component Analysis in Meteorology and Oceanography , 1988 .

[5]  L. Chambers Linear and Nonlinear Waves , 2000, The Mathematical Gazette.

[6]  Han Park,et al.  Analysis of Space Shuttle main engine data using beacon-based exception analysis for multi-missions , 2002, Proceedings, IEEE Aerospace Conference.

[7]  P. Holmes,et al.  Turbulence, Coherent Structures, Dynamical Systems and Symmetry , 1996 .