Case-based configuration estimation of steel weight in ships according to principal component analysis

Liang Chun Chen, Ching Hsiang Chuang, I. Hsin Ko, Chih Chiang Ying, Cheng Kuan Lin, Ying Han Wu, Heiu Jou Shaw

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

2 Citations (Scopus)

Abstract

The purpose of this study is to provide estimations of steel weight for new ships in the early design stages. Principal Component Analysis (PCA) is applied to estimate the steel weight for the whole ship as well as its segments. The database is based on three-dimensional (3D) computer aided design (CAD) systems. In order to obtain more precise estimation, Multiple Retrieval Case-Based Reasoning (CBR) is used to find the fitting historical data for the individual configuration segments of the target ship. In comparing estimation variability, the maximum error for the whole ship estimation is about 5%; the error of the configuration segments estimation is 3.74%, clearly less than the whole ship estimation; hence, the configuration segments estimation is able to obtain accurate steel weight.

Original languageEnglish
Title of host publicationRINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013
PublisherRoyal Institution of Naval Architects
Pages23-30
Number of pages8
ISBN (Print)9781909024182
Publication statusPublished - 2013 Jan 1
EventInternational Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013 - Busan, Korea, Republic of
Duration: 2013 Sep 242013 Sep 26

Publication series

NameRINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013
Volume1

Other

OtherInternational Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013
CountryKorea, Republic of
CityBusan
Period13-09-2413-09-26

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Ocean Engineering

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