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Output details

11 - Computer Science and Informatics

Queen Mary University of London

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Output 15 of 83 in the submission

Article title

Availability modelling of repairable systems using Bayesian networks

Type

D - Journal article

DOI

10.1016/j.engappai.2010.06.003

Title of journal

Engineering Applications of Artificial Intelligence

Article number

Volume number

Issue number

First page of article

698

ISSN of journal

0952-1976

Year of publication

2012

URL

http://www.sciencedirect.com/science/article/pii/S0952197610001181

Number of additional authors

Additional information

<13>The paper presents a new set of models for performing reliability analyses using hybrid Bayesian Networks. The models incorporate issues such as mean time to failure, corrective repair, preventive maintenance and logistical delay. They are embedded in the AgenaRisk Bayesian Network toolkit and are in routine use by DSTL, Motorola, Lockheed-Martin, Bosch, General Dynamics and numerous other companies globally. See www.agenarisk.com and contact Ed Tranham, Commercial Director, for details (ed@agena.co.uk).

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract