지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.12
- 수록면
- 426 - 437 (12page)
이용수
초록· 키워드
오류제보하기
This study aimed to propose an Artificial neural network (ANN) model to fill missing wave data using Bayesian optimization of hyperparameters. Ocean environmental data obtained by ocean buoys have been missed due to the malfunction or maintenance of monitoring system or extremely harsh weather condition during a storm. It is important of the continuity of measured data to analyze ocean environmental condition for the engineering purpose such as the design condition for offshore structure and the assessment of wave condition for a long term return period using the extreme analysis. Five ANN models were applied to estimate three wave parameters of significant wave height, peak wave period, and wave direction using of measurement data at Geomundo ocean buoy for eight years (2010-2017). The wind data of European Centre for Medium-Range Weather Forecasts were employed to estimate the wave parameters with ANN models to fill missing wave data at Geomundo ocean buoy. By comparison of each ANN model result, it could be suggested Bidirectional gated recurrent unit network, Gated recurrent unit network, Feed-forward neural network for the best model to fill the significant wave height, peak wave period and wave direction, respectively. These three ANN models could be applied to fill a long-term missing wave data at ocean buoys.
목차
ABSTRACT
1. Introduction
2. Data Collection and Analysis
3. Design of ANN Models and Machine Learning
4. Results
5. Conclusions
References
참고문헌 (20)
참고문헌 신청
Alizadeh, M. J., & Nourani, V. (2024). Multivariate GRU and LSTM models for wave forecasting and hindcasting in the southern Caspian Sea. Ocean Engineering, 298, 117193. https://doi.org/10.1016/j.oceaneng.2024.117193
American Petroleum Institute (API). (2005). Design and analysis of stationkeeping system for floating structure (API RP-2SK).
Bales, S. L., Lee, W. T., Voelker, J. M., & Taylor, D. W. (1981). Standardized wave and wind environments for NATO operational areas. David W. Taylor Naval Ship Research and Development Center.
Bujak, D., Bogovac, T., Carević, D., & Miličević, H. (2023). Filling missing and extending significant wave height measurements using neural networks and an integrated surface database. Wind, 3(2), 151–169. https://doi.org/10.3390/wind3020010
Cao, W., Wang, D., Li, J., Zhou, H., Li, L., & Li, Y. (2018). Brits: Bidirectional recurrent imputation for time series. Advances in neural information processing systems, 31.
American Petroleum Institute (API). (2005). Design and analysis of stationkeeping system for floating structure (API RP-2SK).
Bales, S. L., Lee, W. T., Voelker, J. M., & Taylor, D. W. (1981). Standardized wave and wind environments for NATO operational areas. David W. Taylor Naval Ship Research and Development Center.
Bujak, D., Bogovac, T., Carević, D., & Miličević, H. (2023). Filling missing and extending significant wave height measurements using neural networks and an integrated surface database. Wind, 3(2), 151–169. https://doi.org/10.3390/wind3020010
Cao, W., Wang, D., Li, J., Zhou, H., Li, L., & Li, Y. (2018). Brits: Bidirectional recurrent imputation for time series. Advances in neural information processing systems, 31.
이 논문과 함께 이용한 논문
Comparison Study on the Fatigue Damage of a Container Ship Applying Hydroelastic Fatigue Analysis Procedures of LR and BV Classification Societies
Jun-Bum Pa
,
k
한국해양공학회지
2024
.10
An Experimental Study of Wave Impact Loads on an FPSO Bow in 2D Wave-Tank
Dong-Min Pa
,
k
,
Byoungjae Pa
외 2명
한국해양공학회지
2024
.10
Change in Turning Ability According to the Side Fin Angle of a Ship Based on a Mathematical Model
WangGook Lee
,
Sang-Hyun Kim
,
DooJin Jung
외 1명
한국해양공학회지
2022
.04
Material Property-Estimate Technique Based on Natural Frequency for Updating Finite Element Model of Orthotropic Beams
Kookhyun Kim
,
Sungju Pa
,
k
외 4명
한국해양공학회지
2020
.12
Optimization Approach for a Catamaran Hull Using CAESES and STAR-CCM+
Zhang Yongxing
,
Dong-Joon Kim
한국해양공학회지
2020
.08
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-151-25-02-091245581