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

Abstract

Abstract not provided.

Authors:
ORCiD logo [1];  [2]
+ Show Author Affiliations
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Stevens Inst. of Technology, Hoboken, NJ (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1432479
Alternate Identifier(s):
OSTI ID: 1478216
Report Number(s):
SAND-2018-3223J; SAND-2017-2685J
Journal ID: ISSN 1098-1241; 661799
Grant/Contract Number:  
AC04-94AL85000; NA0003525
Resource Type:
Accepted Manuscript
Journal Name:
Systems Engineering
Additional Journal Information:
Journal Volume: 21; Journal Issue: 4; Journal ID: ISSN 1098-1241
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Bayesian network; decision model; qualification; structural knowledge assessment

Citation Formats

Rizzo, Davinia B., and Blackburn, Mark R. Harnessing expert knowledge: Defining a Bayesian network decision model with limited data-Model structure for the vibration qualification problem. United States: N. p., 2018. Web. doi:10.1002/sys.21431.
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Rizzo, Davinia B., & Blackburn, Mark R. Harnessing expert knowledge: Defining a Bayesian network decision model with limited data-Model structure for the vibration qualification problem. United States. https://doi.org/10.1002/sys.21431
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Rizzo, Davinia B., and Blackburn, Mark R. Fri . "Harnessing expert knowledge: Defining a Bayesian network decision model with limited data-Model structure for the vibration qualification problem". United States. https://doi.org/10.1002/sys.21431. https://www.osti.gov/servlets/purl/1432479.
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@article{osti_1432479,
title = {Harnessing expert knowledge: Defining a Bayesian network decision model with limited data-Model structure for the vibration qualification problem},
author = {Rizzo, Davinia B. and Blackburn, Mark R.},
abstractNote = {Abstract not provided.},
doi = {10.1002/sys.21431},
journal = {Systems Engineering},
number = 4,
volume = 21,
place = {United States},
year = {2018},
month = {3}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1002/sys.21431
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    Works referencing / citing this record:

    Elemental patterns of verification strategies
    journal, March 2019

    • Salado, Alejandro; Kannan, Hanumanthrao
    • Systems Engineering, Vol. 22, Issue 5
    • DOI: 10.1002/sys.21481
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