A discretization procedure for rare events in Bayesian networks. (September 2016)
- Record Type:
- Journal Article
- Title:
- A discretization procedure for rare events in Bayesian networks. (September 2016)
- Main Title:
- A discretization procedure for rare events in Bayesian networks
- Authors:
- Zwirglmaier, Kilian
Straub, Daniel - Abstract:
- Abstract: Discrete Bayesian networks (BNs) can be effective for risk- and reliability assessments, in which probability estimates of (rare) failure events are frequently updated with new information. To solve such reliability problems accurately in BNs, the discretization of continuous random variables must be performed carefully. To this end, we develop an efficient discretization scheme, which is based on finding an optimal discretization for the linear approximation of the reliability problem obtained from the First-Order Reliability Method (FORM). Because the probability estimate should be accurate under all possible future information scenarios, the discretization scheme is optimized with respected to the expected posterior error. To simplify application of the method, we establish parametric formulations for efficient discretization of random variables in BNs for reliability problems based on numerical investigations. The procedure is implemented into a software prototype. Finally, it is applied to a verification example and an application example, the prediction of runway overrun of a landing aircraft. Highlights: Discretization of basic random variables in a reliability problem for discrete BNs. Efficient discretization through optimization based on FORM approximations. Development of a heuristic for efficient discretization. Application to two verification examples and one from the field of civil aviation. Procedure implemented in a Matlab code (available as aAbstract: Discrete Bayesian networks (BNs) can be effective for risk- and reliability assessments, in which probability estimates of (rare) failure events are frequently updated with new information. To solve such reliability problems accurately in BNs, the discretization of continuous random variables must be performed carefully. To this end, we develop an efficient discretization scheme, which is based on finding an optimal discretization for the linear approximation of the reliability problem obtained from the First-Order Reliability Method (FORM). Because the probability estimate should be accurate under all possible future information scenarios, the discretization scheme is optimized with respected to the expected posterior error. To simplify application of the method, we establish parametric formulations for efficient discretization of random variables in BNs for reliability problems based on numerical investigations. The procedure is implemented into a software prototype. Finally, it is applied to a verification example and an application example, the prediction of runway overrun of a landing aircraft. Highlights: Discretization of basic random variables in a reliability problem for discrete BNs. Efficient discretization through optimization based on FORM approximations. Development of a heuristic for efficient discretization. Application to two verification examples and one from the field of civil aviation. Procedure implemented in a Matlab code (available as a supplement to the paper). … (more)
- Is Part Of:
- Reliability engineering & system safety. Volume 153(2016:Sep.)
- Journal:
- Reliability engineering & system safety
- Issue:
- Volume 153(2016:Sep.)
- Issue Display:
- Volume 153 (2016)
- Year:
- 2016
- Volume:
- 153
- Issue Sort Value:
- 2016-0153-0000-0000
- Page Start:
- 96
- Page End:
- 109
- Publication Date:
- 2016-09
- Subjects:
- Bayesian networks -- Discretization -- Near-real-time -- Structural reliability -- Updating
Reliability (Engineering) -- Periodicals
System safety -- Periodicals
Industrial safety -- Periodicals
Fiabilité -- Périodiques
Sécurité des systèmes -- Périodiques
Sécurité du travail -- Périodiques
620.00452 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09518320 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ress.2016.04.008 ↗
- Languages:
- English
- ISSNs:
- 0951-8320
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7356.422700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 526.xml