Ship sensors data collection and analysis for condition monitoring of ship structures and machinery systems

Yiannis Raptodimos, Iraklis Lazakis, Gerasimos Theotokatos, Takis Varelas, Leonidas Drikos

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Abstract

With the advancements in technology, sensors and predictive maintenance, the concept of smart ships aims in using data to enhance ship performance. The INCASS project aims in integrating robotic platforms, structural and machinery reliability tools in order to enhance ship inspection, maintenance, safety and performance. In order to achieve this, sensors are installed onboard three case studies, for monitoring hull structural characteristics and machinery parameter measurements are also monitored and data are collected in order to inspect and examine machinery systems and parameters behaviour through condition monitoring. Moreover, INCASS also addresses and identifies the methods for transforming the real time monitoring data (raw data), collected from the onboard measurement campaign using permanent sensors or portable equipment or a combination of both, into meaningful, useful data and information that will be utilised in developed structural and machinery reliability analysis and assessment tools. Furthermore, the developed tools using the information from the onboard data collection activity will be capable of calculating and assessing the performance and reliability of the ship, which will provide input into a decision support system capable of addressing emergency decision making and assisting in the overall decision making process for repair, maintenance and optimised ship operations.
Original languageEnglish
Title of host publicationInternational Conference on Smart Ship Technology 2016
Place of PublicationLondon
PublisherRoyal Institution of Naval Architects
Number of pages10
ISBN (Print)9781909024502
Publication statusPublished - 27 Jan 2016
EventSmart Ship Technology - The Royal Institution of Naval Architects, London, United Kingdom
Duration: 26 Jan 201627 Jan 2016

Conference

ConferenceSmart Ship Technology
CountryUnited Kingdom
CityLondon
Period26/01/1627/01/16

Keywords

  • ship sensors
  • data collection
  • ship condition monitoring

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    Raptodimos, Y., Lazakis, I., Theotokatos, G., Varelas, T., & Drikos, L. (2016). Ship sensors data collection and analysis for condition monitoring of ship structures and machinery systems. In International Conference on Smart Ship Technology 2016 Royal Institution of Naval Architects.