Fingerprinting the ship propulsion system: low hanging fruit or mission impossible?

Arthur Vrijdag, Yueming Sang

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

In 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.
Original languageEnglish
Title of host publicationINEC/iSCSS 2018 Conference Proceedings
PublisherInstitute of Marine Engineering, Science and Technology
Number of pages15
Publication statusPublished - 2018
EventINEC/iSCSS 2018: 14th International Naval Engineering Conference and Exhibition & International Ship Control Systems Symposium - Glasgow, United Kingdom
Duration: 2 Oct 20184 Oct 2018

Conference

ConferenceINEC/iSCSS 2018: 14th International Naval Engineering Conference and Exhibition & International Ship Control Systems Symposium
Country/TerritoryUnited Kingdom
CityGlasgow
Period2/10/184/10/18

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • marine propulsion system
  • system identification
  • parameter identification
  • linear ship propulsion system model
  • data driven ship propulsion model

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