Scientists at the Pacific Northwest National Laboratory (PNNL) have examined the necessity for optimization of energy plant operation using “DSOM” – Decision Support Operation and Maintenance and this has been deployed at several sites. This approach has been expanded to include a prognostics component and tested on a pilot scale service water system, modeled on the design employed in a nuclear power plant. A key element in plant optimization is understanding and controlling the aging process of both safety-specific nuclear plant components and the infrastructure that supports these processes. This paper reports the development and demonstration of a physics-based approach to prognostic analysis that combines distributed computing, RF data links, the measurement of aging precursor metrics and their correlation with degradation rate and projected machine failure.
Revised: May 19, 2011 |
Published: April 18, 2005
Citation
Jarrell D.B., and L.J. Bond. 2005.Physics-based Prognostics for Optimizing Plant Operation. In Essential technologies for successful prognostics : proceedings of the 59th Meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, Virginia, April 18-21, 2005, edited by Henry C Pusey; Sallie C Pusey; W R Hobbs, 55-64. Winchester, Virginia:Society for Machinery Failure Prevention Technology (MFPT).PNNL-SA-44074.