Construction Status Prediction Method for Large Trailing Suction Hopper Dredger Based on Multiple Features and Model Fusion
Publication: ICCREM 2023
ABSTRACT
Trailing suction hopper dredger are large equipment in dredging engineering, and accurate construction state prediction is of great significance for engineering construction. A virtual sensor technology suitable for instrument detection and mechanical fault monitoring of trailing suction dredgers is proposed, and a theoretical model and solution based on virtual sensor design for trailing suction dredgers are constructed. This framework first utilizes feature selection methods to analyze continuous dynamic monitoring data during the construction operation period, obtain key parameters that affect fault problems, and use a combination of multiple artificial intelligence models for accurate prediction of construction status. The method is tested using a flow rate sensor as an example, and the performance of the model is verified under error indicators.
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Information & Authors
Information
Published In
ICCREM 2023
Pages: 1 - 14
History
Published online: Nov 30, 2023
ASCE Technical Topics:
- Construction engineering
- Construction equipment
- Construction methods
- Dredging
- Engineering fundamentals
- Equipment and machinery
- Errors (statistics)
- Flow (fluid dynamics)
- Fluid dynamics
- Fluid mechanics
- Hydrologic engineering
- Mathematics
- Measurement (by type)
- Model accuracy
- Models (by type)
- River engineering
- Sediment
- Sensors and sensing
- Statistics
- Suction
- Water and water resources
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