Availability-based engineering resilience metric and its corresponding evaluation methodology. (April 2018)
- Record Type:
- Journal Article
- Title:
- Availability-based engineering resilience metric and its corresponding evaluation methodology. (April 2018)
- Main Title:
- Availability-based engineering resilience metric and its corresponding evaluation methodology
- Authors:
- Cai, Baoping
Xie, Min
Liu, Yonghong
Liu, Yiliu
Feng, Qiang - Abstract:
- Highlights: Availability-based engineering resilience metric is proposed. A dynamic-Bayesian-networks-based evaluation methodology is developed. A series, parallel and voting system is used for demonstrating the methodology. A nine-bus power grid system is also used for demonstrating the methodology. Abstract: Several resilience metrics have been proposed for engineering systems (e.g., mechanical engineering, civil engineering, critical infrastructure, etc.); however, they are different from one another. Their difference is determined by the performances of the objects of evaluation. This study proposes a new availability-based engineering resilience metric from the perspective of reliability engineering. Resilience is considered an intrinsic ability and an inherent attribute of an engineering system. Engineering system structure and maintenance resources are principal factors that affect resilience, which are integrated into the engineering resilience metric. A corresponding dynamic-Bayesian-network-based evaluation methodology is developed on the basis of the proposed resilience metric. The resilience value of an engineering system can be predicted using the proposed methodology, which provides an implementation guidance for engineering planning, design, operation, construction, and management. Some examples for common systems (i.e., series, parallel, and voting systems) and an actual application example (i.e., a nine-bus power grid system) are used to demonstrate theHighlights: Availability-based engineering resilience metric is proposed. A dynamic-Bayesian-networks-based evaluation methodology is developed. A series, parallel and voting system is used for demonstrating the methodology. A nine-bus power grid system is also used for demonstrating the methodology. Abstract: Several resilience metrics have been proposed for engineering systems (e.g., mechanical engineering, civil engineering, critical infrastructure, etc.); however, they are different from one another. Their difference is determined by the performances of the objects of evaluation. This study proposes a new availability-based engineering resilience metric from the perspective of reliability engineering. Resilience is considered an intrinsic ability and an inherent attribute of an engineering system. Engineering system structure and maintenance resources are principal factors that affect resilience, which are integrated into the engineering resilience metric. A corresponding dynamic-Bayesian-network-based evaluation methodology is developed on the basis of the proposed resilience metric. The resilience value of an engineering system can be predicted using the proposed methodology, which provides an implementation guidance for engineering planning, design, operation, construction, and management. Some examples for common systems (i.e., series, parallel, and voting systems) and an actual application example (i.e., a nine-bus power grid system) are used to demonstrate the application of the proposed resilience metric and its corresponding evaluation methodology. … (more)
- Is Part Of:
- Reliability engineering & system safety. Volume 172(2018)
- Journal:
- Reliability engineering & system safety
- Issue:
- Volume 172(2018)
- Issue Display:
- Volume 172, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 172
- Issue:
- 2018
- Issue Sort Value:
- 2018-0172-2018-0000
- Page Start:
- 216
- Page End:
- 224
- Publication Date:
- 2018-04
- Subjects:
- Resilience -- Availability -- Metric -- Engineering system
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.2017.12.021 ↗
- 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:
- 11511.xml