Replacement of Fault Sensor of Cutter Suction Dredger Mud Pump Based on MCNN Transformer
Source abstract
Abstract
The mud pump water sealing system (MPWSS) is important in the efficient operation and prolonged service life of the cutter suction dredger’s (CSD) mud pump. Considering that the underwater pump operates underwater and the shaft seal water pressure sensor is prone to failure, a hybrid deep learning model MCNN transformer is proposed to predict the underwater pump shaft seal water pressure in the event of sensor failure. This paper uses big data from the dredging project to deeply excavate the relationship between the shaft end sealing water pressure and other construction data by combining experience and artificial intelligence, and then uses multi-scale convolutional neural network (MCNN) to reconstruct the data, highlighting the time series characteristics of the multi-scale data were then input into the transformer model for prediction, and compared with a single MCNN, transformer model and four other neural networks. Finally, the cutter suction dredger “Hua An Long” was selected as an application research case; experimental comparisons were conducted on seven different models to verify the accuracy and applicability of the MCNN-transformer model.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Environmental and Sediment Control · Engineering Technology and Methodologies · Modeling, Simulation, and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572000, China
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
National Engineering Research Center for Water Transport Safety, Wuhan 430063, China
Funding
PhD Scientific Research and Innovation Foundation of Sanya Yazhou Bay Science and Technology City · National Natural Science Foundation of China
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