Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74434
PIRA download icon_1.1View/Download Full Text
Title: A novel critical infrastructure resilience assessment approach using dynamic Bayesian networks
Authors: Cai, B
Xie, M
Liu, Y
Liu, Y
Ji, R 
Feng, Q
Issue Date: 2017
Source: AIP conference proceedings, 2017, v. 1890, no. , 40043, p. 040043-1-040043-5
Abstract: The word resilience originally originates from the Latin word ""resiliere"", which means to ""bounce back"". The concept has been used in various fields, such as ecology, economics, psychology, and society, with different definitions. In the field of critical infrastructure, although some resilience metrics are proposed, they are totally different from each other, which are determined by the performances of the objects of evaluation. Here we bridge the gap by developing a universal critical infrastructure resilience metric from the perspective of reliability engineering. A dynamic Bayesian networks-based assessment approach is proposed to calculate the resilience value. A series, parallel and voting system is used to demonstrate the application of the developed resilience metric and assessment approach.
Publisher: American Institute of Physics
Journal: AIP conference proceedings 
ISBN: 9780735415683
ISSN: 0094-243X
EISSN: 1551-7616
DOI: 10.1063/1.5005245
Description: 2nd International Conference on Materials Science, Resource and Environmental Engineering, MSREE 2017, 27 - 29 October 2017
Rights: © 2017 Author(s).
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in B. Cai et al., AIP Conference Proceedings 1890, 40043 (2017) and may be found at https://dx.doi.org/10.1063/1.5005245
Appears in Collections:Conference Paper

Files in This Item:
File Description SizeFormat 
Cai_Critical_Infrastructure_Resilience.pdf544.38 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

105
Last Week
1
Last month
Citations as of Apr 21, 2024

Downloads

70
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

6
Last Week
0
Last month
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

5
Last Week
0
Last month
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.