The replacement of dysfunctional sensors based on the digital twin method during the cutter suction dredger construction process-Reference-Cited by-同舟云学术

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The replacement of dysfunctional sensors based on the digital twin method during the cutter suction dredger construction process

Published:2022-02 Issue: Volume:189 Page:110523
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Wang Bin,Fan Shidong,Chen Yong,Zheng Liangyan,Zhu Hanhua,Fang Zhenlong,Zhang Min

Funder

National Natural Science Foundation of China

Wuhan University of Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference38 articles.

1. Automatic monitoring and control of cutter suction dredger;Tang;Autom. Constr.,2009

2. Online fault diagnosis and prevention expert system for dredgers;Tang;Expert Syst. Appl.,2008

3. Obtaining human experience for intelligent dredger control: a reinforcement learning approach;Wei;Appl. Sci.,2019

4. Novel method of construction-efficiency evaluation of cutter suction dredger based on real-time monitoring data;Li;J. Waterway Port Coastal Ocean Eng.,2018

5. A Novel method with stacking learning of data-driven soft sensors for mud concentration in a cutter suction dredger;Wang;Sensors (Basel),2020

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2. The effect of seasonal variation of medium viscosity on centrifugal desanding in shaft seal water system of suction dredger: Numerical simulation and mechanism study;Journal of Physics: Conference Series;2023-08-01

3. Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data;Journal of Industrial Information Integration;2023-06

4. Cutting state estimation and time series prediction using deep learning for Cutter Suction Dredger;Applied Ocean Research;2023-05

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