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Title: 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:
 [1];  [2];  [2];  [1];  [2];  [2];  [2];  [2];  [3];  [4];  [5];  [2]
  1. Kennewick, WA
  2. Richland, WA
  3. San Bruno, CA
  4. Lake Oswego, OR
  5. Fort Collins, CO
Issue Date:
Research Org.:
Pacific Northwest National Lab. (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
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


The effects of root-cause analysis on the utility resource balance
conference, January 1992


Model predictive control and the optimization of power plant load while considering lifetime consumption
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An integrated approach to reliability assessment, maintenance and life cycle costs in the National Grid Company
conference, January 1995


Maintenance work scheduling aid for nuclear power plants
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An integrated approach to machine fault diagnosis
conference, January 1999


A model-based engineering process for increasing productivity in discrete manufacturing
conference, January 1997