Early Warning of Internal Leakage in Heat Exchanger Network Based on Dynamic Mechanism Model and Long Short-Term Memory Method

Early Warning of Internal Leakage in Heat Exchanger Network Based on Dynamic Mechanism Model and Long Short-Term Memory Method

In the process of butadiene rubber production, internal leakage occurs in heat exchangers due to excessive pressure difference. It leads to the considerable flow of organic matters into the circulating water system. Since these organic matters are volatile and prone to explode in the cold water towe...

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Bibliographic Details
Main Authors: Wende Tian, Nan Liu, Dongwu Sui, Zhe Cui, Zijian Liu, Ji Wang, Hao Zou, Ya Zhao
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Processes
Subjects:
internal leakage
dynamic simulation
deep learning
long short-term memory
early warning
risk assessment
Online Access:https://www.mdpi.com/2227-9717/9/2/378

Internet

https://www.mdpi.com/2227-9717/9/2/378

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