Application of Deep Learning in Drainage Systems Monitoring Data Repair—A Case Study Using Con-GRU Model

Application of Deep Learning in Drainage Systems Monitoring Data Repair—A Case Study Using Con-GRU Model

Hydraulic monitoring data is critical for optimizing drainage system design and predicting system performance, particularly in the establishment of data-driven hydraulic models. However, anomalies in monitoring data, caused by sensor failures and network fluctuations, can severely impact their pract...

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Bibliographic Details
Main Authors: Li He, Shasha Ji, Kunlun Xin, Zewei Chen, Lei Chen, Jun Nan, Chenxi Song
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Water
Subjects:
drainage system
data repair
deep learning
one-dimensional convolution
gated recurrent unit
Online Access:https://www.mdpi.com/2073-4441/15/8/1635

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https://www.mdpi.com/2073-4441/15/8/1635

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