Harnessing expert knowledge: Defining a Bayesian network decision model with limited data-Model structure for the vibration qualification problem

Rizzo, Davinia B.; Blackburn, Mark R.

doi:10.1002/sys.21431

Title: Harnessing expert knowledge: Defining a Bayesian network decision model with limited data-Model structure for the vibration qualification problem

Journal Article · Fri Mar 30 00:00:00 EDT 2018 · Systems Engineering

DOI:https://doi.org/10.1002/sys.21431· OSTI ID:1432479

^[1]; Blackburn, Mark R. ^[2]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Stevens Inst. of Technology, Hoboken, NJ (United States)

Abstract not provided.

View Accepted Manuscript (DOE)

Cite

Export

Save

Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000; NA0003525

OSTI ID:: 1432479

Alternate ID(s):: OSTI ID: 1478216

Report Number(s):: SAND-2018-3223J; SAND-2017-2685J; 661799

Journal Information:: Systems Engineering, Vol. 21, Issue 4; ISSN 1098-1241

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 3 works

Citation information provided by
Web of Science

References (19)

Decision support analysis for safety control in complex project environments based on Bayesian Networks Zhang, Limao; Wu, Xianguo; Ding, Lieyun Expert Systems with Applications, Vol. 40, Issue 11 https://doi.org/10.1016/j.eswa.2012.11.022	journal	September 2013
Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Kraiger, Kurt; Ford, J. Kevin; Salas, Eduardo Journal of Applied Psychology, Vol. 78, Issue 2 https://doi.org/10.1037//0021-9010.78.2.311	journal	January 1993
Use of Bayesian Networks for Qualification Planning: Early Results of Factor Analysis Rizzo, Davinia B.; Blackburn, Mark R. Procedia Computer Science, Vol. 95 https://doi.org/10.1016/j.procs.2016.09.354	journal	January 2016
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support Constantinou, Anthony Costa; Fenton, Norman; Marsh, William Artificial Intelligence in Medicine, Vol. 67 https://doi.org/10.1016/j.artmed.2016.01.002	journal	February 2016
Risk modelling of a hydrogen refuelling station using Bayesian network Haugom, G. P.; Friis-Hansen, P. International Journal of Hydrogen Energy, Vol. 36, Issue 3 https://doi.org/10.1016/j.ijhydene.2010.04.131	journal	February 2011
Use of Bayesian Networks for Qualification Planning: A Predictive Analysis Framework for a Technically Complex Systems Engineering Problem Rizzo, Davinia B.; Blackburn, Mark R. Procedia Computer Science, Vol. 61 https://doi.org/10.1016/j.procs.2015.09.173	journal	January 2015
Metrics for evaluating performance and uncertainty of Bayesian network models Marcot, Bruce G. Ecological Modelling, Vol. 230 https://doi.org/10.1016/j.ecolmodel.2012.01.013	journal	April 2012
Assessing structural knowledge. Goldsmith, Timothy E.; Johnson, Peder J.; Acton, William H. Journal of Educational Psychology, Vol. 83, Issue 1 https://doi.org/10.1037/0022-0663.83.1.88	journal	March 1991
Assessment of Catastrophic Risk Using Bayesian Network Constructed from Domain Knowledge and Spatial Data: Assessment of Catastrophic Risk Using Bayesian Network Li, Lianfa; Wang, Jinfeng; Leung, Hareton Risk Analysis, Vol. 30, Issue 7 https://doi.org/10.1111/j.1539-6924.2010.01429.x	journal	April 2010
A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data Cano, A.; Masegosa, A. R.; Moral, S. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), Vol. 41, Issue 5 https://doi.org/10.1109/TSMCB.2011.2148197	journal	October 2011
Drawbacks of complex models in frequentist and Bayesian approaches to natural-resource management Adkison, Milo D. Ecological Applications, Vol. 19, Issue 1 https://doi.org/10.1890/07-1641.1	journal	January 2009
Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Kraiger, Kurt; Ford, J. Kevin; Salas, Eduardo Journal of Applied Psychology, Vol. 78, Issue 2 https://doi.org/10.1037/0021-9010.78.2.311	journal	January 1993
Good practice in Bayesian network modelling Chen, Serena H.; Pollino, Carmel A. Environmental Modelling & Software, Vol. 37 https://doi.org/10.1016/j.envsoft.2012.03.012	journal	November 2012
Interdisciplinary Aspects of Cost-Risk Tradeoffs Marshall, Peter OCEANS 2006 https://doi.org/10.1109/oceans.2006.306980	conference	September 2006
A proposed validation framework for expert elicited Bayesian Networks Pitchforth, Jegar; Mengersen, Kerrie Expert Systems with Applications, Vol. 40, Issue 1 https://doi.org/10.1016/j.eswa.2012.07.026	journal	January 2013
Analyzing the structure of expert knowledge Bradley, John H.; Paul, Ravi; Seeman, Elaine Information & Management, Vol. 43, Issue 1 https://doi.org/10.1016/j.im.2004.11.009	journal	January 2006
Application of a Bayesian model for the quantification of the European methodology for qualification of non-destructive testing Gandossi, Luca; Simola, Kaisa; Shepherd, Barrie International Journal of Pressure Vessels and Piping, Vol. 87, Issue 2-3 https://doi.org/10.1016/j.ijpvp.2009.12.002	journal	February 2010
Mapping model validation metrics to subject matter expert scores for model adequacy assessment Teferra, Kirubel; Shields, Michael D.; Hapij, Adam Reliability Engineering & System Safety, Vol. 132 https://doi.org/10.1016/j.ress.2014.07.010	journal	December 2014
The case for objective Bayesian analysis Berger, James Bayesian Analysis, Vol. 1, Issue 3 https://doi.org/10.1214/06-BA115	journal	September 2006

Cited By (1)

Elemental patterns of verification strategies Salado, Alejandro; Kannan, Hanumanthrao Systems Engineering, Vol. 22, Issue 5 https://doi.org/10.1002/sys.21481	journal	March 2019

Similar Records

Use of Bayesian networks for qualification planning: a predictive framework for a technically complex systems engineering problem.

Conference · Sun Nov 01 00:00:00 EDT 2015 · OSTI ID:1432479

Rizzo, Davinia; Blackburn, Mark R.

Use of Bayesian networks for qualification planning: a predictive analysis framework for a technically complex systems engineering problem.

Conference · Fri May 01 00:00:00 EDT 2015 · OSTI ID:1432479

Rizzo, Davinia; Blackburn, Mark

Use of Bayesian Networks for Qualification Planning: Early Results of Factor Analysis.

Conference · Tue Nov 01 00:00:00 EDT 2016 · OSTI ID:1432479

Rizzo, Davinia; Blackburn, Mark

Related Subjects

97 MATHEMATICS AND COMPUTING
Bayesian network
decision model
qualification
structural knowledge assessment

Title: Harnessing expert knowledge: Defining a Bayesian network decision model with limited data-Model structure for the vibration qualification problem

Citation Formats

References (19)

Cited By (1)

Similar Records

Related Subjects