Method and apparatus to predict the remaining service life of an operating system
Abstract
A method and computer-based apparatus for monitoring the degradation of, predicting the remaining service life of, and/or planning maintenance for, an operating system are disclosed. Diagnostic information on degradation of the operating system is obtained through measurement of one or more performance characteristics by one or more sensors onboard and/or proximate the operating system. Though not required, it is preferred that the sensor data are validated to improve the accuracy and reliability of the service life predictions. The condition or degree of degradation of the operating system is presented to a user by way of one or more calculated, numeric degradation figures of merit that are trended against one or more independent variables using one or more mathematical techniques. Furthermore, more than one trendline and uncertainty interval may be generated for a given degradation figure of merit/independent variable data set. The trendline(s) and uncertainty interval(s) are subsequently compared to one or more degradation figure of merit thresholds to predict the remaining service life of the operating system. The present invention enables multiple mathematical approaches in determining which trendline(s) to use to provide the best estimate of the remaining service life.
- Inventors:
-
- Richland, WA
- West Richland, WA
- Los Alamos, NM
- (West Richland, WA), Ferryman
- Kennewick, WA
- Coconut Creek, FL
- Issue Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 958680
- Patent Number(s):
- 7457785
- Application Number:
- 10/362,717
- Assignee:
- Battelle Memorial Institute (Richland, WA)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01D - MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
- DOE Contract Number:
- AC06-76RL01830
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Greitzer, Frank L, Kangas, Lars J, Terrones, Kristine M, Maynard, Melody A, Pawlowski, Ronald A., Thomas, A, Skorpik, James R, and Wilson, Bary W. Method and apparatus to predict the remaining service life of an operating system. United States: N. p., 2008.
Web.
Greitzer, Frank L, Kangas, Lars J, Terrones, Kristine M, Maynard, Melody A, Pawlowski, Ronald A., Thomas, A, Skorpik, James R, & Wilson, Bary W. Method and apparatus to predict the remaining service life of an operating system. United States.
Greitzer, Frank L, Kangas, Lars J, Terrones, Kristine M, Maynard, Melody A, Pawlowski, Ronald A., Thomas, A, Skorpik, James R, and Wilson, Bary W. Tue .
"Method and apparatus to predict the remaining service life of an operating system". United States. https://www.osti.gov/servlets/purl/958680.
@article{osti_958680,
title = {Method and apparatus to predict the remaining service life of an operating system},
author = {Greitzer, Frank L and Kangas, Lars J and Terrones, Kristine M and Maynard, Melody A and Pawlowski, Ronald A. and Thomas, A and Skorpik, James R and Wilson, Bary W},
abstractNote = {A method and computer-based apparatus for monitoring the degradation of, predicting the remaining service life of, and/or planning maintenance for, an operating system are disclosed. Diagnostic information on degradation of the operating system is obtained through measurement of one or more performance characteristics by one or more sensors onboard and/or proximate the operating system. Though not required, it is preferred that the sensor data are validated to improve the accuracy and reliability of the service life predictions. The condition or degree of degradation of the operating system is presented to a user by way of one or more calculated, numeric degradation figures of merit that are trended against one or more independent variables using one or more mathematical techniques. Furthermore, more than one trendline and uncertainty interval may be generated for a given degradation figure of merit/independent variable data set. The trendline(s) and uncertainty interval(s) are subsequently compared to one or more degradation figure of merit thresholds to predict the remaining service life of the operating system. The present invention enables multiple mathematical approaches in determining which trendline(s) to use to provide the best estimate of the remaining service life.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 25 00:00:00 EST 2008},
month = {Tue Nov 25 00:00:00 EST 2008}
}
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