Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
An Expert Elicitation Analysis for Vessel Allision Risk Near the Offshore Wind Farm by Using Fuzzy Rule-Based Bayesian Network
1 Wuhan University of Technology, Wuhan, China
Times cited (SCOPUS): 2
ABSTRACT: This paper develops an expert based framework for analysing and synthesising the ship allision risk near the offshore wind farm (OWF) on the basis of a generic Fuzzy Bayesian network and FMEA analysis. This framework is specifically intended to overcome the difficulty of using traditional risk assessment methods in OWF allision. Under the introduced framework, subjective belief degrees are assigned to model the incompleteness encountered in establishing the knowledge base. The fuzzy transformation technology is then used to introduce all judgements results under various situations. Fully, a Bayesian network is established to aggregate all relevant attributes to the conclusion and to prioritise potential allision risk level of each ship categories. A series of case studies of different ship categories are studied to illustrate the application of the proposed framework. Results show that the fishing vessel and the service vessel have a higher allision risk than the merchant vessel due to insufficient risk detection. The collision consequence of the tanker is significantly higher than other types of vessel. The framework facilitates subjective risk assessment when historical failure data is not available in their practice, which provides support to OWF-safeguarding and decision-making.
KEYWORDS: Risk Analysis, Bayesian Network Model, Offshore Wind Farms, Failure Modes and Effects Analyses (FMEA), Bayesian Networks, Expert Elicitation Analysis, Fuzzy Rule-Based Bayesian Network, Vessel Allision Risk
REFERENCES
F. Biehl and E. Lehmann, “Collisions of ships with offshore wind turbines: Calculation and risk evaluation,” Offshore Wind Energy Res. Environ. Impacts, pp. 281–304, 2006. - doi:10.1007/978-3-540-34677-7_17
A. Rawson and E. Rogers, “Assessing the impacts to vessel traffic from offshore wind farms in the Thames Estuary,” Sci. Journals Marit. Univ. Szczecin-Zeszyty Nauk. Akad. Morskiej W Szczecinie, vol. 43, no. 115, pp. 99–107, 2015.
S. Chang, K. Tseng, and S. Chang, “Assessing Navigational Risk of Offshore Wind Farm Development,” pp. 0–5, 2014. - doi:10.1109/OCEANS-TAIPEI.2014.6964565
D. Ahn, S. C. Shin, S. Y. Kim, H. Kharoufi, and H. C. Kim, “Comparative evaluation of different offshore wind turbine installation vessels for Korean west–south wind farm,” Int. J. Nav. Archit. Ocean Eng., vol. 9, no. 1, pp. 45–54, 2017. - doi:10.1016/j.ijnaoe.2016.07.004
R. A. Mehdi and J. U. Schröder-Hinrichs, “A theoretical risk management framework for vessels operating near offshore wind farms,” in MARE-WINT: New Materials and Reliability in Offshore Wind Turbine Technology, Springer, Cham, 2016, pp. 359–400. - doi:10.1007/978-3-319-39095-6_21
L. Dai, S. Ehlers, M. Rausand, and I. B. Utne, “Risk of collision between service vessels and offshore wind turbines,” Reliab. Eng. Syst. Saf., vol. 109, pp. 18–31, 2013. - doi:10.1016/j.ress.2012.07.008
C. F. Christensen, L. W. Andersen, and P. H. Pedersen, “Ship collision risk for an offshore wind farm,” Struct. Saf., pp. 1–7, 2001.
C. E. Presencia and M. Shafiee, “Risk analysis of maintenance ship collisions with offshore wind turbines,” Int. J. Sustain. Energy, vol. 37, no. 6, pp. 576–596, 2018. - doi:10.1080/14786451.2017.1327437
Z. Yang and J. Wang, “Use of fuzzy risk assessment in FMEA of offshore engineering systems,” Ocean Eng., vol. 95, pp. 195–204, 2015. - doi:10.1016/j.oceaneng.2014.11.037
H. Arabian-Hoseynabadi, H. Oraee, and P. J. Tavner, “Failure Modes and Effects Analysis (FMEA) for wind turbines,” Int. J. Electr. Power Energy Syst., vol. 32, no. 7, pp. 817–824, 2010. - doi:10.1016/j.ijepes.2010.01.019
J. Kang, L. Sun, H. Sun, and C. Wu, “Risk assessment of floating offshore wind turbine based on correlation-FMEA,” Ocean Eng., vol. 129, no. 154, pp. 382–388, 2017. - doi:10.1016/j.oceaneng.2016.11.048
C. Dağsuyu, E. Göçmen, M. Narlı, and A. Kokangül, “Classical and fuzzy FMEA risk analysis in a sterilization unit,” Comput. Ind. Eng., vol. 101, pp. 286–294, 2016. - doi:10.1016/j.cie.2016.09.015
R. xin Nie, Z. peng Tian, X. kang Wang, J. qiang Wang, and T. li Wang, “Risk evaluation by FMEA of supercritical water gasification system using multi-granular linguistic distribution assessment,” Knowledge-Based Syst., no. January, 2018.
Z. Yang, S. Bonsall, and J. Wang, “Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA,” IEEE Trans. Reliab., vol. 57, no. 3, pp. 517–528, 2008. - doi:10.1109/TR.2008.928208
Citation note:
Yu Q., Liu K.: An Expert Elicitation Analysis for Vessel Allision Risk Near the Offshore Wind Farm by Using Fuzzy Rule-Based Bayesian Network. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 13, No. 4, doi:10.12716/1001.13.04.16, pp. 831-837, 2019
Other publications of authors:
File downloaded 396 times
