Decision support for operations and maintenance (DSOM) system
Abstract
A method for minimizing the life cycle cost of processes such as heating a building. The method utilizes sensors to monitor various pieces of equipment used in the process, for example, boilers, turbines, and the like. The method then performs the steps of identifying a set optimal operating conditions for the process, identifying and measuring parameters necessary to characterize the actual operating condition of the process, validating data generated by measuring those parameters, characterizing the actual condition of the process, identifying an optimal condition corresponding to the actual condition, comparing said optimal condition with the actual condition and identifying variances between the two, and drawing from a set of pre-defined algorithms created using best engineering practices, an explanation of at least one likely source and at least one recommended remedial action for selected variances, and providing said explanation as an output to at least one user.
- Inventors:
-
- Kennewick, WA
- Richland, WA
- San Bruno, CA
- Lake Oswego, OR
- Fort Collins, CO
- Issue Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 908546
- Patent Number(s):
- 7016742
- Application Number:
- 10/306,943
- Assignee:
- Battelle Memorial Institute (Richland, WA)
- Patent Classifications (CPCs):
-
F - MECHANICAL ENGINEERING F01 - MACHINES OR ENGINES IN GENERAL F01K - STEAM ENGINE PLANTS
G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
- DOE Contract Number:
- AC06-76RL01830
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2002 Nov 27
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Jarrell, Donald B, Meador, Richard J, Sisk, Daniel R, Hatley, Darrel D, Brown, Daryl R, Keibel, Gary R, Gowri, Krishnan, Reyes-Spindola, Jorge F, Adams, Kevin J, Yates, Kenneth R, Eschbach, Elizabeth J, and Stratton, Rex C. Decision support for operations and maintenance (DSOM) system. United States: N. p., 2006.
Web.
Jarrell, Donald B, Meador, Richard J, Sisk, Daniel R, Hatley, Darrel D, Brown, Daryl R, Keibel, Gary R, Gowri, Krishnan, Reyes-Spindola, Jorge F, Adams, Kevin J, Yates, Kenneth R, Eschbach, Elizabeth J, & Stratton, Rex C. Decision support for operations and maintenance (DSOM) system. United States.
Jarrell, Donald B, Meador, Richard J, Sisk, Daniel R, Hatley, Darrel D, Brown, Daryl R, Keibel, Gary R, Gowri, Krishnan, Reyes-Spindola, Jorge F, Adams, Kevin J, Yates, Kenneth R, Eschbach, Elizabeth J, and Stratton, Rex C. Tue .
"Decision support for operations and maintenance (DSOM) system". United States. https://www.osti.gov/servlets/purl/908546.
@article{osti_908546,
title = {Decision support for operations and maintenance (DSOM) system},
author = {Jarrell, Donald B and Meador, Richard J and Sisk, Daniel R and Hatley, Darrel D and Brown, Daryl R and Keibel, Gary R and Gowri, Krishnan and Reyes-Spindola, Jorge F and Adams, Kevin J and Yates, Kenneth R and Eschbach, Elizabeth J and Stratton, Rex C},
abstractNote = {A method for minimizing the life cycle cost of processes such as heating a building. The method utilizes sensors to monitor various pieces of equipment used in the process, for example, boilers, turbines, and the like. The method then performs the steps of identifying a set optimal operating conditions for the process, identifying and measuring parameters necessary to characterize the actual operating condition of the process, validating data generated by measuring those parameters, characterizing the actual condition of the process, identifying an optimal condition corresponding to the actual condition, comparing said optimal condition with the actual condition and identifying variances between the two, and drawing from a set of pre-defined algorithms created using best engineering practices, an explanation of at least one likely source and at least one recommended remedial action for selected variances, and providing said explanation as an output to at least one user.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2006},
month = {3}
}
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Works referenced in this record:
Designing risk-management strategies for critical engineering systems
journal, January 1999
- Baron, M. M.; Pate-Cornell, E. B.
- IEEE Transactions on Engineering Management, Vol. 46, Issue 1
The effects of root-cause analysis on the utility resource balance
conference, January 1992
- Jarrell, D. B.; Stratton, R. C.
- Annual Reliability and Maintainability Symposium 1992 Proceedings
Model predictive control and the optimization of power plant load while considering lifetime consumption
journal, January 2002
- Gallestey, E.; Stothert, A.; Antoine, M.
- IEEE Transactions on Power Systems, Vol. 17, Issue 1
Maintenance work scheduling aid for nuclear power plants
conference, January 1988
- Kasahara, T.; Kato, K.; Ito, T.
- Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications
An integrated approach to machine fault diagnosis
conference, January 1999
- Wang, P.; Propes, N.; Khiripet, N.
- 1999 IEEE Annual Textile, Fiber and Film Industry Technical Conference (Cat. No.99CH37006)
A model-based engineering process for increasing productivity in discrete manufacturing
conference, January 1997
- Long, E.; Misra, A.
- Proceedings International Conference and Workshop on Engineering of Computer-Based Systems
An integrated approach to reliability assessment, maintenance and life cycle costs in the National Grid Company
conference, January 1995
- Allison, M. R.
- Second International Conference on the Reliability of Transmission and Distribution Equipment