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Journal of Marine Engineering & Technology Volume 21, 2022 - Issue 2
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Articles

Reliability maintenance aspects of deck machinery for ageing/aged fishing vessels

David Kimeraa Department of Mechanical and Industrial Engineering, University of Namibia, Windhoek, Namibia;b Department of Water Resources Engineering, Busitema University, Tororo, UgandaCorrespondence[email protected]
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Fillemon Nduvu Nangoloa Department of Mechanical and Industrial Engineering, University of Namibia, Windhoek, NamibiaView further author information
Pages 100-110 | Received 20 Oct 2018, Accepted 31 Aug 2019, Published online: 12 Sep 2019

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Read on this site (2)

Çağlar Karatuğ, Yasin Arslanoğlu & C. Guedes Soares. (2023) Review of maintenance strategies for ship machinery systems. Journal of Marine Engineering & Technology 22:5, pages 233-247.
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Mohsen Elmdoost-gashti, Mahmood Shafiee & Ali Bozorgi-Amiri. (2023) Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities. Journal of Marine Engineering & Technology 0:0, pages 1-15.
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Articles from other publishers (3)

Vindex Domeh, Francis Obeng, Faisal Khan, Neil Bose & Elizabeth Sanli. (2023) An operational risk awareness tool for small fishing vessels operating in harsh environment. Reliability Engineering & System Safety 234, pages 109139.
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Yuhao Cao, Xinjian Wang, Yihang Wang, Shiqi Fan, Huanxin Wang, Zaili Yang, Zhengjiang Liu, Jin Wang & Runjie Shi. (2023) Analysis of factors affecting the severity of marine accidents using a data-driven Bayesian network. Ocean Engineering 269, pages 113563.
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Huanxin Wang, Zhengjiang Liu, Xinjian Wang, Daozheng Huang, Liang Cao & Jin Wang. (2022) Analysis of the injury-severity outcomes of maritime accidents using a zero-inflated ordered probit model. Ocean Engineering 258, pages 111796.
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