Inspection capabilities for enhanced ship safety

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

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

Original languageEnglish
Title of host publicationTowards Green Marine Technology and Transport
Subtitle of host publicationProceedings of the 16th International Congress of the International Maritime Association of the Mediterranean (IMAM 2015), Pula, Croatia, 21-24 September 2015
EditorsC. Guedes Soares, R. Dejhalla, D. Pavletić
Place of PublicationLeiden, The Netherlands
Pages767-774
Number of pages8
DOIs
Publication statusPublished - 4 Sept 2015
Event16th International Congress of the International Maritime Association of the Mediterranean, IMAM 2015 - Hotel Park Plaza Histria, Pula, Pula, Croatia
Duration: 21 Sept 201524 Sept 2015
http://www.imamhomepage.org/imam2015/

Conference

Conference16th International Congress of the International Maritime Association of the Mediterranean, IMAM 2015
Abbreviated titleIMAM 2015
Country/TerritoryCroatia
CityPula
Period21/09/1524/09/15
Internet address

Keywords

  • artificial intelligence
  • decision support systems
  • inspection
  • machinery
  • marine engineering
  • monitoring
  • risk analysis
  • risk assessment
  • robotics
  • safety engineering
  • ships

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