A novel methodology to develop risk-based maintenance strategies for fishing vessels

被引:13
作者
Domeh, Vindex [1 ]
Obeng, Francis [1 ]
Khan, Faisal [1 ,2 ]
Bose, Neil [3 ]
Sanli, Elizabeth [4 ]
机构
[1] Mem Univ Newfoundland, Fac Engn & Appl Sci, Ctr Risk, Integr, St John, NL, Canada
[2] Artie McFerrin Dept Chem Engn Texas A&M Univ, Mary Kay OConnor Proc Safety Ctr, College Stn, TX USA
[3] Mem Univ Newfoundland, Fac Engn & Appl Sci, Dept Ocean & Naval Architectural Engn, St John, NL, Canada
[4] Mem Univ Newfoundland, Fisheries & Marine Inst, Sch Maritime Studies, Ocean Safety Res, St John, NL, Canada
关键词
Ship propulsion; Fishing vessel; Maintenance planning; Marine propulsion system; Risk-based maintenance (RBM); Probabilistic risk assessment; PROPULSION SYSTEM; SAFETY ANALYSIS; FAULT-TREE; SHIP; NETWORK; MODEL; FAILURE; DESIGN; HYBRID; RBM;
D O I
10.1016/j.oceaneng.2022.111281
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Fishing vessels often encounter propulsion machinery faults, resulting in the main propulsion system (MPS) failure. MPS failure can lead to safety and economic loss. Maintenance programming is an effective way to mitigate MPS failures. Given the nature of the fishing business, corrective and preventive maintenance approaches are not best suited for fishing vessels' maintenance needs. This study presents a risk-based maintenance (RBM) methodology to develop a maintenance plan for fishing vessels. The methodology uses simple steps to design a tailormade maintenance plan for a given vessel. Central to the methodology is the "MPS OOBN model" that assists in estimating maintenance interval time for MPS subsystems and components needing maintenance. The study used a new method, the "Goal-directed risk identification technique (Goal-DRIT)", to define the risk factors employed in developing the "MPS OOBN model". The RBM methodology is benchmarked with the publicly available literature, and it also demonstrates 24.78% savings in the budgeted maintenance cost, for an example fishing vessel operating in Ghana. The methodology and proposed models are recommended to the commercial fishing industry, chief engineers, and superintendents of marine vessels to aid their maintenance programme design needs.
引用
收藏
页数:15
相关论文
共 70 条
[1]   Developing a Quantitative Risk-based Methodology for Maintenance Scheduling Using Bayesian Network [J].
Abbassi, Rouzbeh ;
Bhandari, Jyoti ;
Khan, Faisal ;
Garaniy, Vikram ;
Chai, Shuhong .
15TH INTERNATIONAL SYMPOSIUM ON LOSS PREVENTION AND SAFETY PROMOTION (LOSS 2016), 2016, 48 :235-240
[2]   Fuzzy-logic-based network for complex systems risk assessment: Application to ship performance analysis [J].
Abou, Seraphin C. .
ACCIDENT ANALYSIS AND PREVENTION, 2012, 45 :305-316
[3]   Fuzzy-based failure mode and effect analysis (FMEA) of a hybrid molten carbonate fuel cell (MCFC) and gas turbine system for marine propulsion [J].
Ahn, Junkeon ;
Noh, Yeelyong ;
Park, Sung Ho ;
Choi, Byung Il ;
Chang, Daejun .
JOURNAL OF POWER SOURCES, 2017, 364 :226-233
[4]  
Altosole M, 2012, P SUMM COMP, P36
[5]   Using Reliability Block Diagrams and Fault Tree circuits, to develop a Condition Based Maintenance Model for a Vessel's Main Propulsion System and Related Subsystems [J].
Anantharaman, M. .
TRANSNAV-INTERNATIONAL JOURNAL ON MARINE NAVIGATION AND SAFETY OF SEA TRANSPORTATION, 2013, 7 (03) :409-413
[6]   Reliability Assessment of Main Engine Subsystems Considering Turbocharger Failure as a Case Study [J].
Anantharaman, M. ;
Khan, F. ;
Garaniya, V ;
Lewarn, B. .
TRANSNAV-INTERNATIONAL JOURNAL ON MARINE NAVIGATION AND SAFETY OF SEA TRANSPORTATION, 2018, 12 (02) :271-276
[7]  
[Anonymous], 2013, LOW CARBON SHIPP C
[8]  
[Anonymous], 2002, Offshore reliability data handbook
[9]   Risk-based maintenance - Techniques and applications [J].
Arunraj, N. S. ;
Maiti, J. .
JOURNAL OF HAZARDOUS MATERIALS, 2007, 142 (03) :653-661
[10]   Improving risk characterisations in practical situations by highlighting knowledge aspects, with applications to risk matrices [J].
Aven, Terje .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 167 :42-48