Adaptive Sampling using Support Vector Machines
Abstract
Reliability/safety analysis of stochastic dynamic systems (e.g., nuclear power plants, airplanes, chemical plants) is currently performed through a combination of Event-Tress and Fault-Trees. However, these conventional methods suffer from certain drawbacks: • Timing of events is not explicitly modeled • Ordering of events is preset by the analyst • The modeling of complex accident scenarios is driven by expert-judgment For these reasons, there is currently an increasing interest into the development of dynamic PRA methodologies since they can be used to address the deficiencies of conventional methods listed above.
- Authors:
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- DOE - NE
- OSTI Identifier:
- 1060969
- Report Number(s):
- INL/CON-12-26354
- DOE Contract Number:
- DE-AC07-05ID14517
- Resource Type:
- Conference
- Resource Relation:
- Conference: 2012 ANS Winter Meeting,San Diego, CA,11/11/2012,11/15/2012
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS; Adaptive Sampling; Dynamic PRA; Support Vector Machines
Citation Formats
Mandelli, D, and Smith, C. Adaptive Sampling using Support Vector Machines. United States: N. p., 2012.
Web.
Mandelli, D, & Smith, C. Adaptive Sampling using Support Vector Machines. United States.
Mandelli, D, and Smith, C. 2012.
"Adaptive Sampling using Support Vector Machines". United States. https://www.osti.gov/servlets/purl/1060969.
@article{osti_1060969,
title = {Adaptive Sampling using Support Vector Machines},
author = {Mandelli, D and Smith, C},
abstractNote = {Reliability/safety analysis of stochastic dynamic systems (e.g., nuclear power plants, airplanes, chemical plants) is currently performed through a combination of Event-Tress and Fault-Trees. However, these conventional methods suffer from certain drawbacks: • Timing of events is not explicitly modeled • Ordering of events is preset by the analyst • The modeling of complex accident scenarios is driven by expert-judgment For these reasons, there is currently an increasing interest into the development of dynamic PRA methodologies since they can be used to address the deficiencies of conventional methods listed above.},
doi = {},
url = {https://www.osti.gov/biblio/1060969},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Nov 01 00:00:00 EDT 2012},
month = {Thu Nov 01 00:00:00 EDT 2012}
}
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