Integrated systems health management to achieve autonomy in complex systems

Abstract Integrated Systems Health Management (ISHM) provides the ability to maintain system health and performance over the life of a system. For safety-critical systems, ISHM must maintain safe operations while increasing availability by preserving functionality and minimizing downtime. This paper discusses a model-based approach to ISHM that combines fault detection, isolation and identification, fault-adaptive control, and prognosis into a common framework. At the core of this framework are a set of component oriented physical system models. By incorporating physics of failure models into component models the dynamic behavior of a failing or degrading system can be derived by simulation. Current state information predicts future behavior and performance of the system to guide decision making on system operation and maintenance. We demonstrate our approach on a pump that is part of a Water Recovery System used for NASA applications.

[1]  Krishna R. Pattipati,et al.  An interacting multiple model approach to model-based prognostics , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[2]  Giorgio Pariani,et al.  Results of an integrated water recovery system test , 2001 .

[3]  R. Friend,et al.  ICEMS: a platform for advanced condition-based health management , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

[4]  Gautam Biswas,et al.  A Model Integrated Computing Tool-Suite for Fault-Adaptive Control , 2004 .

[5]  Sherif Abdelwahed,et al.  Requirements for an Autonomous Control Architecture for Advanced Life Support Systems , 2005 .

[6]  Lakmal Seneviratne,et al.  Instantaneous friction components model for transient engine operation , 2000 .

[7]  Sherif Abdelwahed,et al.  Hierarchical Online Control Design for Autonomous Resource Management in Advanced Life Support Systems , 2005 .

[8]  Gabor Karsai,et al.  A robust method for hybrid diagnosis of complex systems , 2003 .

[9]  Michael M. Khonsari,et al.  Thermally Induced Seizure in Journal Bearings During Startup and Transient Flow Disturbance , 2003 .

[10]  Pieter J. Mosterman,et al.  Building Efficient simulations from Hybrid bond Graph Models , 2006, ADHS.

[11]  P. Mosterman,et al.  A theory of discontinuities in physical system models , 1998 .

[12]  Gautam Biswas,et al.  Model-Based Diagnosis of Hybrid Systems , 2003, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[13]  Michael W. Deckert A Science-Based Approach to Ultra-High Reliability , 1996 .

[14]  R. Rosenberg,et al.  System Dynamics: Modeling and Simulation of Mechatronic Systems , 2006 .

[15]  R. Sayles,et al.  Effects of debris particles in sliding/rolling elastohydrodynamic contacts , 1998 .