System and method for statistically monitoring and analyzing sensed conditions
Abstract
A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.
- Inventors:
-
- Livermore, CA
- (Dublin, CA), Gentile
- (Dublin, CA), Marzouk
- (Oakland, CA), Hale
- (San Jose, CA), Thompson
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 993080
- Patent Number(s):
- 7756682
- Application Number:
- 11/526,283
- Assignee:
- Sandia Corporationed (Livermore, CA)
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Pebay, Philippe P, Brandt, James M., Ann C., Youssef M., Darrian J., and David, C. System and method for statistically monitoring and analyzing sensed conditions. United States: N. p., 2010.
Web.
Pebay, Philippe P, Brandt, James M., Ann C., Youssef M., Darrian J., & David, C. System and method for statistically monitoring and analyzing sensed conditions. United States.
Pebay, Philippe P, Brandt, James M., Ann C., Youssef M., Darrian J., and David, C. Tue .
"System and method for statistically monitoring and analyzing sensed conditions". United States. https://www.osti.gov/servlets/purl/993080.
@article{osti_993080,
title = {System and method for statistically monitoring and analyzing sensed conditions},
author = {Pebay, Philippe P and Brandt, James M. and Ann C. and Youssef M. and Darrian J. and David, C},
abstractNote = {A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 13 00:00:00 EDT 2010},
month = {Tue Jul 13 00:00:00 EDT 2010}
}
Works referenced in this record:
OVIS: a tool for intelligent, real-time monitoring of computational clusters
conference, January 2006
- Brandt, J. M.; Gentile, A. C.; Hale, D. J.
- Proceedings 20th IEEE International Parallel & Distributed Processing Symposium
A neural network approach to statistical pattern classification by 'semiparametric' estimation of probability density functions
journal, May 1991
- Traven, H. G. C.
- IEEE Transactions on Neural Networks, Vol. 2, Issue 3