Data mining approach to construction productivity prediction for cutter suction dredgers
Cutter suction dredgers are important equipment in the dredging engineering. However,
dredging construction productivity is affected by many factors such as soil, hydrology …
dredging construction productivity is affected by many factors such as soil, hydrology …
A real-time green construction optimization strategy for engineering vessels considering fuel consumption and productivity: A case study on a cutter suction dredger
G Shang, L Xu, J Tian, D Cai, Z Xu, Z Zhou - Energy, 2023 - Elsevier
Energy saving in the process of engineering construction is an indispensable measure to
achieve industrial low carbon emissions. To reduce fuel consumption in the construction …
achieve industrial low carbon emissions. To reduce fuel consumption in the construction …
Research on predicting the productivity of cutter suction dredgers based on data mining with model stacked generalization
B Wang, S Fan, P Jiang, T Xing, Z Fang, Q Wen - Ocean Engineering, 2020 - Elsevier
To solve the problem that dredging prediction systems provide inaccurate productivity
predictions and rely heavily on mud concentration data. This paper presents a data mining …
predictions and rely heavily on mud concentration data. This paper presents a data mining …
Cutting state estimation and time series prediction using deep learning for Cutter Suction Dredger
With the increasing environmental protection standard, the Cutter Suction Dredger (CSD)
construction is required to guarantee precise dredging in some special areas. Specifically …
construction is required to guarantee precise dredging in some special areas. Specifically …
The replacement of dysfunctional sensors based on the digital twin method during the cutter suction dredger construction process
In practice, the construction environment of the cutter suction dredger (CSD) is inclement,
which results in a high frequency of the key parameter sensor failure. If the key parameter …
which results in a high frequency of the key parameter sensor failure. If the key parameter …
Intelligent short-term forecasting for mud concentration in CSD dredging construction
It has long been a challenge in the design of cutter suction dredgers (CSD) that the
measurement of mud concentration lags behind other indicators like vacuum and flow rate …
measurement of mud concentration lags behind other indicators like vacuum and flow rate …
[HTML][HTML] A novel method with stacking learning of data-driven soft sensors for mud concentration in a cutter suction dredger
B Wang, S Fan, P Jiang, H Zhu, T Xiong, W Wei, Z Fang - Sensors, 2020 - mdpi.com
The dredger construction environment is harsh, and the mud concentration meter can be
damaged from time to time. To ensure that the dredger can continue construction operations …
damaged from time to time. To ensure that the dredger can continue construction operations …
Productivity analysis of trailing suction hopper dredgers using stacking strategy
Abstract Trailing Suction Hopper Dredger (TSHD) is commonly used in dredging
construction operations. Accurate productivity estimation and optimization are important for …
construction operations. Accurate productivity estimation and optimization are important for …
Productivity estimation of cutter suction dredger operation through data mining and learning from real-time big data
Purpose This paper presents a new approach of productivity estimation of cutter suction
dredger operation through data mining and learning from real-time big data …
dredger operation through data mining and learning from real-time big data …
[HTML][HTML] Temporal model for ship twin-propeller jet induced sandbed scour
Y Cui, WH Lam, T Zhang, C Sun, D Robinson… - Journal of Marine …, 2019 - mdpi.com
This research paper proposes the use of empirical equations to estimate the temporal
maximum scour that is induced by twin-propeller (ε twin= Ω t [ln (t)] Γ t) when acting over non …
maximum scour that is induced by twin-propeller (ε twin= Ω t [ln (t)] Γ t) when acting over non …