Online Probabilistic Risk Assessment of Complex Marine Systems [electronic resource] : Principles, Modelling and Applications / by Tarannom Parhizkar, Ingrid B. Utne, Jan-Erik Vinnem.
Material type: TextLanguage: İngilizce Series: Springer Series in Reliability EngineeringPublisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 online resourceContent type:- text
- computer
- online resource
- 9783030880989
- HD61
Item type | Current library | Home library | Collection | Call number | Copy number | Status | Notes | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|---|---|
E-Book | Merkez Kütüphane | Merkez Kütüphane | E-Kitap Koleksiyonu | HD61EBK (Browse shelf(Opens below)) | 1 | Geçerli değil-e-Kitap / Not applicable-e-Book | END | EBK03317 |
Introduction -- Analysis of Incidents -- Human, Organization and Technology Interactions -- Human Factor Quantifications -- Dynamic Probabilistic Risk Assessment -- Online Risk Assessment -- Online Risk Assessment to Assist Decision Making in Emergency Situations -- Case Studies -- Review, Discussion and Conclusion.
This book proposes a new approach to dynamic and online risk assessment of automated and autonomous marine systems, taking into account different environmental and operational conditions. The book presents lessons learnt from dynamic positioning incidents and accidents, and discusses the challenges of risk assessment of complex systems. The book begins by introducing dynamic and online risk assessment, before presenting automated and autonomous marine systems, as well as numerous dynamic positioning incidents. It then discusses human interactions with technology and explores how to quantify human error. Dynamic probabilistic risk assessment and online risk assessment are both considered fully, including case studies with the application of assisting operators in decision making in emergency situations. Finally, areas for future research are suggested. This practical volume offers tools and methodologies to help operators make better decisions and improve the safety of automated and autonomous marine systems. It provides a guideline for researchers and practitioners to perform dynamic probabilistic and online risk assessment, which also should be applicable to other complex systems outside the marine and maritime domain, such as nuclear power plants, chemical processes, autonomous transport systems, and space shuttles.
There are no comments on this title.