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Accession Number N20130001692
Title Distributed Approach to System-Level Prognostics.
Publication Date Sep 2012
Media Count 12p
Personal Author A. Bregon I. Roychoudhury M. J. Daigle
Abstract Prognostics, which deals with predicting remaining useful life of components, subsystems, and systems, is a key technology for systems health management that leads to improved safety and reliability with reduced costs. The prognostics problem is often approached from a component-centric view. However, in most cases, it is not specifically component lifetimes that are important, but, rather, the lifetimes of the systems in which these components reside. The system-level prognostics problem can be quite difficult due to the increased scale and scope of the prognostics problem and the relative Jack of scalability and efficiency of typical prognostics approaches. In order to address these is ues, we develop a distributed solution to the system-level prognostics problem, based on the concept of structural model decomposition. The system model is decomposed into independent submodels. Independent local prognostics subproblems are then formed based on these local submodels, resul ting in a scalable, efficient, and flexible distributed approach to the system-level prognostics problem. We provide a formulation of the system-level prognostics problem and demonstrate the approach on a four-wheeled rover simulation testbed. The results show that the system-level prognostics problem can be accurately and efficiently solved in a distributed fashion.
Keywords Algorithms
Component reliability
Computerized simulation
Distributed processing
Life(Durability)
Mathematical models
Performance prediction
Roving vehicles
Structural engineering
Systems engineering
Systems health monitoring
Systems management
Vehicle wheels
Velocity measurement

 
Source Agency National Aeronautics and Space Administration
NTIS Subject Category 84 - Space Technology
72 - Mathematical Sciences
Corporate Author National Aeronautics and Space Administration, Moffett Field, CA. Ames Research Center.
Document Type Conference proceedings
Title Note N/A
NTIS Issue Number 1318
Contract Number NNA08CG83C

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