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

Fingerprint

Principal component analysis
Ships
Steel
Case based reasoning
Computer aided design

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Ocean Engineering

Cite this

Chen, L. C., Chuang, C. H., Ko, I. H., Ying, C. C., Lin, C. K., Wu, Y. H., & Shaw, H-J. (2013). Case-based configuration estimation of steel weight in ships according to principal component analysis. In RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013 (pp. 23-30). (RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013; Vol. 1). Royal Institution of Naval Architects.
Chen, Liang Chun ; Chuang, Ching Hsiang ; Ko, I. Hsin ; Ying, Chih Chiang ; Lin, Cheng Kuan ; Wu, Ying Han ; Shaw, Heiu-Jou. / Case-based configuration estimation of steel weight in ships according to principal component analysis. RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013. Royal Institution of Naval Architects, 2013. pp. 23-30 (RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013).
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title = "Case-based configuration estimation of steel weight in ships according to principal component analysis",
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.",
author = "Chen, {Liang Chun} and Chuang, {Ching Hsiang} and Ko, {I. Hsin} and Ying, {Chih Chiang} and Lin, {Cheng Kuan} and Wu, {Ying Han} and Heiu-Jou Shaw",
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series = "RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013",
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address = "United Kingdom",

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Chen, LC, Chuang, CH, Ko, IH, Ying, CC, Lin, CK, Wu, YH & Shaw, H-J 2013, Case-based configuration estimation of steel weight in ships according to principal component analysis. in RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013. RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013, vol. 1, Royal Institution of Naval Architects, pp. 23-30, International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013, Busan, Korea, Republic of, 13-09-24.

Case-based configuration estimation of steel weight in ships according to principal component analysis. / Chen, Liang Chun; Chuang, Ching Hsiang; Ko, I. Hsin; Ying, Chih Chiang; Lin, Cheng Kuan; Wu, Ying Han; Shaw, Heiu-Jou.

RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013. Royal Institution of Naval Architects, 2013. p. 23-30 (RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013; Vol. 1).

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

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AB - 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.

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Chen LC, Chuang CH, Ko IH, Ying CC, Lin CK, Wu YH et al. Case-based configuration estimation of steel weight in ships according to principal component analysis. In RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013. Royal Institution of Naval Architects. 2013. p. 23-30. (RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013).