000007726 001__ 7726
000007726 005__ 20240626123056.0
000007726 02470 $$2doi$$a10.24868/issn.2631-8741.2018.013
000007726 035__ $$a2536892
000007726 037__ $$aGENERAL
000007726 245__ $$aFingerprinting the ship propulsion system: low hanging fruit or mission impossible?
000007726 269__ $$a2018-10-03
000007726 336__ $$aConference Proceedings
000007726 520__ $$aIn this paper the concept of ship propulsion system “fingerprinting” is explored as an alternative for data driven models that require extensive measured datasets collected over long periods of ship operation. As a first exploratory step a model of a ship in bollard pull conditions is linearised and its transfer functions are determined. Subsequently limited experimental data, involving sinusoidal excitation of the system input at a wide range of frequencies, is used to determine the system parameters. The resulting parameter estimates compare well against previously determined values. Although the developed ideas are far from ready to be used on full scale, the authors believe that the approach is promising enough to be developed further towards full scale application. 
000007726 542__ $$fCC-BY-NC-ND-4.0
000007726 6531_ $$amarine propulsion system
000007726 6531_ $$asystem identification
000007726 6531_ $$aparameter identification
000007726 6531_ $$anear ship propulsion system model
000007726 6531_ $$adata driven ship propulsion model
000007726 7001_ $$aVrijdag, A$$uDelft University of Technology
000007726 7001_ $$aSang, Y$$uDelft University of Technology
000007726 773__ $$tConference Proceedings of iSCSS
000007726 773__ $$jiSCSS 2018
000007726 789__ $$whttps://zenodo.org/record/2536892$$2URL$$eIsIdenticalTo
000007726 85641 $$uhttps://www.imarest.org/iscss$$yConference website
000007726 8564_ $$9015127d2-0211-4714-b382-27464d99f511$$s1311569$$uhttps://library.imarest.org/record/7726/files/ISCSS%202018%20Paper%20044%20Vrijdag%20FINAL.pdf