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Title: 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:
 [1];  [2];  [3];  [1];  [4];  [1];  [5];  [6]
  1. (Richland, WA)
  2. (West Richland, WA)
  3. (Los Alamos, NM)
  4. (West Richland, WA), Ferryman
  5. (Kennewick, WA)
  6. (Coconut Creek, FL)
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA
Sponsoring Org.:
USDOE
OSTI Identifier:
958680
Patent Number(s):
7,457,785
Application Number:
10/362,717
Assignee:
Battelle Memorial Institute (Richland, WA) RLO
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 = {2008},
month = {11}
}

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