통계적 접근 방법을 이용한 저속비대선 및 컨테이너선의 동력 성능 추정
Powering Performance Prediction of Low-Speed Full Ships and Container Carriers Using Statistical Approach
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In this study, we introduce the prediction of brake power for low-speed full ships and container carriers using the linear regression and a machine learning approach. The residual resistance coefficient, wake fraction coefficient, and thrust deduction factor are predicted by regression models using the main dimensions of ship and propeller. The brake power of a ship can be calculated by these coefficients according to the 1978 ITTC performance prediction method. The mean absolute error of the predicted power was under 7%. As a result of several validation cases, it was confirmed that the machine learning model showed slightly better results than linear regression.
Abstract
In this study, we introduce the prediction of brake power for low-speed full ships and container carriers using the linear regression and a machine learning approach. The residual resistance coefficient, wake fraction coefficient, and thrust deduction factor are predicted by regression models using the main dimensions of ship and propeller. The brake power of a ship can be calculated by these coefficients according to the 1978 ITTC performance prediction method. The mean absolute error of the predicted power was under 7%. As a result of several validation cases, it was confirmed that the machine learning model showed slightly better results than linear regression.
참고문헌 (8)
- Carlton, J, "Marine propellers and propulsion" (2007), Butterworth-Heinemann
- Holtrop, J, "A statistical re-analysis of resistance and propulsion data", International Shipbuilding Progress, 31, pp.272~276 (1984)
- Holtrop, J, "A statistical power prediction method", International Shipbuilding Progress, 25, pp.253~ (1978)
- Holtrop, J, "An approximate power prediction method", International Shipbuilding Progress, 29, pp.166~170 (1982)
- ITTC, "ITTC performance prediction method (revision 04). ITTC-Recommended Procedures and Guidelines, 7.5-0203-01.4", 1~15 (2017)
- 김유철, "선형변수 및 모형시험결과 데이터베이스를 활용한 저속비대선의 잉여저항계수 추정", 대한조선학회 논문집, 56(5), pp.447~456 (2019), 대한조선학회[DOI]
- 김유철, "선형변수 기계학습 기법을 활용한 저속비대선의 잉여저항계수 추정", 대한조선학회 논문집, 57(6), pp.312~321 (2020), 대한조선학회[DOI]