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

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

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.
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

Fingerprint

Condition monitoring
Machinery
Ships
Sensors
Decision making
Portable equipment
Monitoring
Reliability analysis
Decision support systems
Robotics
Repair
Inspection

Keywords

  • ship sensors
  • data collection
  • ship condition monitoring

Cite this

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 London: Royal Institution of Naval Architects.
Raptodimos, Yiannis ; Lazakis, Iraklis ; Theotokatos, Gerasimos ; Varelas, Takis ; Drikos, Leonidas. / Ship sensors data collection and analysis for condition monitoring of ship structures and machinery systems. International Conference on Smart Ship Technology 2016. London : Royal Institution of Naval Architects, 2016.
@inproceedings{5f98c95fc30a4bdb84ac81ed221d9c2c,
title = "Ship sensors data collection and analysis for condition monitoring of ship structures and machinery systems",
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.",
keywords = "ship sensors, data collection, ship condition monitoring",
author = "Yiannis Raptodimos and Iraklis Lazakis and Gerasimos Theotokatos and Takis Varelas and Leonidas Drikos",
year = "2016",
month = "1",
day = "27",
language = "English",
isbn = "9781909024502",
booktitle = "International Conference on Smart Ship Technology 2016",
publisher = "Royal Institution of Naval Architects",
address = "United Kingdom",

}

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, London, Smart Ship Technology, London, United Kingdom, 26/01/16.

Ship sensors data collection and analysis for condition monitoring of ship structures and machinery systems. / Raptodimos, Yiannis; Lazakis, Iraklis; Theotokatos, Gerasimos; Varelas, Takis ; Drikos, Leonidas.

International Conference on Smart Ship Technology 2016. London : Royal Institution of Naval Architects, 2016.

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

TY - GEN

T1 - Ship sensors data collection and analysis for condition monitoring of ship structures and machinery systems

AU - Raptodimos, Yiannis

AU - Lazakis, Iraklis

AU - Theotokatos, Gerasimos

AU - Varelas, Takis

AU - Drikos, Leonidas

PY - 2016/1/27

Y1 - 2016/1/27

N2 - 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.

AB - 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.

KW - ship sensors

KW - data collection

KW - ship condition monitoring

UR - http://www.rina.org.uk/Smart_Ships.html

UR - http://www.rina.org.uk/Smart_ShipTechnology.html

M3 - Conference contribution book

SN - 9781909024502

BT - International Conference on Smart Ship Technology 2016

PB - Royal Institution of Naval Architects

CY - London

ER -

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