Vessel monitoring and design in industry 4.0: a data driven perspective

Luca Oneto; Davide Anguita; Andrea Coraddu; Toine Cleophas; Katerina Xepapa

doi:10.1109/RTSI.2016.7740594

Vessel monitoring and design in industry 4.0: a data driven perspective

Luca Oneto^*, Davide Anguita, Andrea Coraddu, Toine Cleophas, Katerina Xepapa

^*Corresponding author for this work

Naval Architecture, Ocean And Marine Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

10 Citations (Scopus)

Abstract

The main purpose of this work is to build a data driven model to create realistic operating profiles in order to assess and compare different design solutions. The proposed approach takes advantage on the new generation of automation systems which allow gathering a large amount of data from on-board machinery. A data driven modeling of the operational profiles of the vessel (and in general of the fleet) could provide a tool both to diagnose and predict the vessel's state (e.g. for condition based maintenance purposes), for improving the performance and the efficiency of the vessel, and for improving design solutions. The diagnosis and prognosis of the ship's performance can be used as decision support in determining when actions to improve performance should be taken. The developed model will be tested on a real DAMEN vessel where on-board sensors data acquisitions are available from the automation system.

Original language	English
Title of host publication	2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781509011315
DOIs	https://doi.org/10.1109/RTSI.2016.7740594
Publication status	Published - 9 Nov 2016
Event	2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 - Bologna, Italy Duration: 7 Sept 2016 → 9 Sept 2016

Conference

Conference	2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
Country/Territory	Italy
City	Bologna
Period	7/09/16 → 9/09/16

Keywords

marine vehicles
data models
engines
radio frequency
monitoring
propellers
ports

Access to Document

10.1109/RTSI.2016.7740594

Cite this

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title = "Vessel monitoring and design in industry 4.0: a data driven perspective",

abstract = "The main purpose of this work is to build a data driven model to create realistic operating profiles in order to assess and compare different design solutions. The proposed approach takes advantage on the new generation of automation systems which allow gathering a large amount of data from on-board machinery. A data driven modeling of the operational profiles of the vessel (and in general of the fleet) could provide a tool both to diagnose and predict the vessel's state (e.g. for condition based maintenance purposes), for improving the performance and the efficiency of the vessel, and for improving design solutions. The diagnosis and prognosis of the ship's performance can be used as decision support in determining when actions to improve performance should be taken. The developed model will be tested on a real DAMEN vessel where on-board sensors data acquisitions are available from the automation system.",

keywords = "marine vehicles, data models, engines, radio frequency, monitoring, propellers, ports",

author = "Luca Oneto and Davide Anguita and Andrea Coraddu and Toine Cleophas and Katerina Xepapa",

year = "2016",

month = nov,

day = "9",

doi = "10.1109/RTSI.2016.7740594",

language = "English",

booktitle = "2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016",

publisher = "IEEE",

note = "2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 ; Conference date: 07-09-2016 Through 09-09-2016",

}

Oneto, L, Anguita, D, Coraddu, A, Cleophas, T & Xepapa, K 2016, Vessel monitoring and design in industry 4.0: a data driven perspective. in 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016., 7740594, IEEE, Piscataway, NJ, 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016, Bologna, Italy, 7/09/16. https://doi.org/10.1109/RTSI.2016.7740594

Vessel monitoring and design in industry 4.0: a data driven perspective. / Oneto, Luca; Anguita, Davide; Coraddu, Andrea et al.
2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016. Piscataway, NJ: IEEE, 2016. 7740594.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Vessel monitoring and design in industry 4.0

T2 - 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016

AU - Oneto, Luca

AU - Anguita, Davide

AU - Coraddu, Andrea

AU - Cleophas, Toine

AU - Xepapa, Katerina

PY - 2016/11/9

Y1 - 2016/11/9

N2 - The main purpose of this work is to build a data driven model to create realistic operating profiles in order to assess and compare different design solutions. The proposed approach takes advantage on the new generation of automation systems which allow gathering a large amount of data from on-board machinery. A data driven modeling of the operational profiles of the vessel (and in general of the fleet) could provide a tool both to diagnose and predict the vessel's state (e.g. for condition based maintenance purposes), for improving the performance and the efficiency of the vessel, and for improving design solutions. The diagnosis and prognosis of the ship's performance can be used as decision support in determining when actions to improve performance should be taken. The developed model will be tested on a real DAMEN vessel where on-board sensors data acquisitions are available from the automation system.

AB - The main purpose of this work is to build a data driven model to create realistic operating profiles in order to assess and compare different design solutions. The proposed approach takes advantage on the new generation of automation systems which allow gathering a large amount of data from on-board machinery. A data driven modeling of the operational profiles of the vessel (and in general of the fleet) could provide a tool both to diagnose and predict the vessel's state (e.g. for condition based maintenance purposes), for improving the performance and the efficiency of the vessel, and for improving design solutions. The diagnosis and prognosis of the ship's performance can be used as decision support in determining when actions to improve performance should be taken. The developed model will be tested on a real DAMEN vessel where on-board sensors data acquisitions are available from the automation system.

KW - marine vehicles

KW - data models

KW - engines

KW - radio frequency

KW - monitoring

KW - propellers

KW - ports

UR - https://www.scopus.com/pages/publications/85006064993

U2 - 10.1109/RTSI.2016.7740594

DO - 10.1109/RTSI.2016.7740594

M3 - Conference contribution book

AN - SCOPUS:85006064993

BT - 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016

PB - IEEE

CY - Piscataway, NJ

Y2 - 7 September 2016 through 9 September 2016

ER -

Vessel monitoring and design in industry 4.0: a data driven perspective

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Keywords

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