Adaptive Sampling using Support Vector Machines

Conference · Thu Nov 01 00:00:00 EDT 2012

OSTI ID:1060969

Mandelli, D; Smith, C

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.

• Research Organization: Idaho National Lab. (INL), Idaho Falls, ID (United States)
• Sponsoring Organization: DOE - NE
• DOE Contract Number: DE-AC07-05ID14517
• OSTI ID: 1060969
• Report Number(s): INL/CON-12-26354
• Resource Relation: Conference: 2012 ANS Winter Meeting,San Diego, CA,11/11/2012,11/15/2012
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
Adaptive Sampling
Dynamic PRA
Support Vector Machines