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 language | English |
|---|---|
| Title of host publication | RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013 |
| Publisher | Royal Institution of Naval Architects |
| Pages | 23-30 |
| Number of pages | 8 |
| ISBN (Print) | 9781909024182 |
| Publication status | Published - 2013 Jan 1 |
| Event | International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013 - Busan, Korea, Republic of Duration: 2013 Sep 24 → 2013 Sep 26 |
Publication series
| Name | RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013 |
|---|---|
| Volume | 1 |
Other
| Other | International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013 |
|---|---|
| Country | Korea, Republic of |
| City | Busan |
| Period | 13-09-24 → 13-09-26 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Ocean Engineering
Cite this
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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 proceeding › Conference contribution
TY - GEN
T1 - Case-based configuration estimation of steel weight in ships according to principal component analysis
AU - Chen, Liang Chun
AU - Chuang, Ching Hsiang
AU - Ko, I. Hsin
AU - Ying, Chih Chiang
AU - Lin, Cheng Kuan
AU - Wu, Ying Han
AU - Shaw, Heiu-Jou
PY - 2013/1/1
Y1 - 2013/1/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84903597818&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84903597818&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9781909024182
T3 - RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013
SP - 23
EP - 30
BT - RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013
PB - Royal Institution of Naval Architects
ER -