Abstract
The main purpose of thiswork 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. Data driven models are built upon statistical inference procedures based on the historical data collection. The advantage of these methods is that there is no need of any a-priory knowledge of the underlying physical system. Furthermore, thanks to the nature of these approaches, it is possible to exploit even data from sensors that could contain some kind of hidden information that cannot be easily extracted with a parametric approach. The use of these tools is nowadays made possible since such information is digitally available from different sources: (i) data stored on board of vessels; (ii) Automatic Identification System (AIS) data available through the internet. A data driven modelling 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.
| Language | English |
|---|---|
| Title of host publication | Proceedings of 3rd International Conference on Maritime Technology and Engineering, MARTECH 2016 |
| Editors | C Guedes Soares, T A Santos |
| Place of Publication | London |
| Pages | 635-646 |
| Number of pages | 12 |
| Volume | 1 |
| Publication status | Published - 21 Jun 2016 |
| Event | 3rd International Conference on Maritime Technology and Engineering, MARTECH 2016 - Lisbon, Portugal Duration: 4 Jul 2016 → 6 Jul 2016 |
Conference
| Conference | 3rd International Conference on Maritime Technology and Engineering, MARTECH 2016 |
|---|---|
| Country | Portugal |
| City | Lisbon |
| Period | 4/07/16 → 6/07/16 |
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Keywords
- ship design
- data analysis
- operating profiles
Cite this
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Operational profiles data analytics for ship design improvement. / Coraddu, A.; Cleophas, T.; Xepapa, K.; Oneto, L.; Anguita, D.
Proceedings of 3rd International Conference on Maritime Technology and Engineering, MARTECH 2016. ed. / C Guedes Soares; T A Santos. Vol. 1 London, 2016. p. 635-646.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Operational profiles data analytics for ship design improvement
AU - Coraddu, A.
AU - Cleophas, T.
AU - Xepapa, K.
AU - Oneto, L.
AU - Anguita, D.
PY - 2016/6/21
Y1 - 2016/6/21
N2 - The main purpose of thiswork 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. Data driven models are built upon statistical inference procedures based on the historical data collection. The advantage of these methods is that there is no need of any a-priory knowledge of the underlying physical system. Furthermore, thanks to the nature of these approaches, it is possible to exploit even data from sensors that could contain some kind of hidden information that cannot be easily extracted with a parametric approach. The use of these tools is nowadays made possible since such information is digitally available from different sources: (i) data stored on board of vessels; (ii) Automatic Identification System (AIS) data available through the internet. A data driven modelling 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 thiswork 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. Data driven models are built upon statistical inference procedures based on the historical data collection. The advantage of these methods is that there is no need of any a-priory knowledge of the underlying physical system. Furthermore, thanks to the nature of these approaches, it is possible to exploit even data from sensors that could contain some kind of hidden information that cannot be easily extracted with a parametric approach. The use of these tools is nowadays made possible since such information is digitally available from different sources: (i) data stored on board of vessels; (ii) Automatic Identification System (AIS) data available through the internet. A data driven modelling 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 - ship design
KW - data analysis
KW - operating profiles
UR - http://www.scopus.com/inward/record.url?scp=85016720802&partnerID=8YFLogxK
UR - https://www.crcpress.com/Maritime-Technology-and-Engineering-III-Proceedings-of-the-3rd-International/Guedes-Soares-Santos/p/book/9781138030008
M3 - Conference contribution book
SN - 9781138030008
VL - 1
SP - 635
EP - 646
BT - Proceedings of 3rd International Conference on Maritime Technology and Engineering, MARTECH 2016
A2 - Soares, C Guedes
A2 - Santos, T A
CY - London
ER -