Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Risk assessment of the operations of maritime autonomous surface ships

Chang, C-H, Kontovas, CA, Yu, Q and Yang, Z (2020) Risk assessment of the operations of maritime autonomous surface ships. Reliability Engineering and System Safety, 207. ISSN 0951-8320

Risk assessment of the operations of maritime autonomous surface ships.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview


Maritime Autonomous Surface Ships (MASS) are attracting increasing attention in the maritime industry. Despite the expected benefits in reducing human error and significantly increasing the overall safety level, the development of autonomous ships would undoubtedly introduce new risks. The overall goal of this work is to develop an approach to evaluate the risk level of major hazards associated with MASS. To that extent, a Failure Modes and Effects Analysis (FMEA) method is used in conjunction with Evidential Reasoning (ER) and Rule-based Bayesian Network (RBN) to quantify the risk levels of the identified hazards. The results show that ‘interaction with manned vessels and detection of objects’ contributes the most to the overall risk of MASS operations, followed by ‘cyber-attacks’, ‘human error’ and ‘equipment failure’. The findings provide useful insights on the major hazards and can aid the overall safety assurance of MASS.

Item Type: Article
Uncontrolled Keywords: 01 Mathematical Sciences, 09 Engineering, 15 Commerce, Management, Tourism and Services
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering
Publisher: Elsevier
Date Deposited: 02 Dec 2020 12:11
Last Modified: 19 Nov 2021 00:50
DOI or ID number: 10.1016/j.ress.2020.107324
URI: https://researchonline.ljmu.ac.uk/id/eprint/14119
View Item View Item