Inspection capabilities for enhanced ship safety

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DOI: 10.1201/B18855-101

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摘要: The INCASS (Inspection Capabilities for Enhanced Ship Safety) project brings together experienced partners to tackle the issue of ship inspection. consortium an innovative solution integration monitoring, inspection, data gathering, risk analysis and management Decision Support structures, machinery equipment in efficient collaborative manner. introduces enhanced inspection structures employing robotic platforms, providing real time data, incorporating Structural Machinery Risk Analysis (SRA MRA), central database System continuous monitoring analysis. This paper demonstrates key features methodology tools development. Furthermore, a case study on MRA by taking into account Fuel Oil (FO) pump. results are assessed system, sub-system component levels considering various probable failure modes.

参考文章(98)
Adam Charchalis, Rafał Pawletko, Application of Artificial Intelligence Methods for the Diagnosis of Marine Diesel Engines Computational Collective Intelligence. Technologies and Applications. pp. 261- 270 ,(2011) , 10.1007/978-3-642-23938-0_27
Sixto L. Vazquez, Alexander Tessler, Cuong C. Quach, Eric G. Cooper, Jan L. Spangler, Jeffrey Parks, Structural Health Monitoring Using High-Density Fiber Optic Strain Sensor and Inverse Finite Element Methods ,(2005)
Osman Turan, Sol Judah, Iraklis Lazakis, Establishing the optimum vessel maintenance approach based on system reliability and criticality analysis Royal Institution of Naval Architects. ,(2012)
Francisco Bonnín-Pascual, Alberto Ortiz, Detection of Cracks and Corrosion for Automated Vessels Visual Inspection conference on artificial intelligence research and development. pp. 111- 120 ,(2010) , 10.3233/978-1-60750-643-0-111
Tadeusz M. Szuba, Computational Collective Intelligence ,(2001)
Leonardo Fernández Jambrina, Antonio Rodríguez Goñi, A CAD development strategy for the next years 12th International Conference on Computer Applications and Information Technology in the Maritime Industries (COMPIT 2013) | 12th International Conference on Computer Applications and Information Technology in the Maritime Industries (COMPIT 2013) | 15/04/2013 - 17/04/2013 | Cortona, Italy. ,(2013)
Rudyar Cortés, Xavier Bonnaire, Olivier Marin, Pierre Sens, Stream Processing of Healthcare Sensor Data: Studying User Traces to Identify Challenges from a Big Data Perspective Procedia Computer Science. ,vol. 52, pp. 1004- 1009 ,(2015) , 10.1016/J.PROCS.2015.05.093
Z Gregov, R Finch, HULL MONITORING SYSTEM ,(1978)
N. D P Barltrop, Nabile Hifi, Improving techniques for ship inspection and maintenance planning International Conference on Managing Reliability and Maintainability in the Maritime Industry. pp. 49- 58 ,(2012)