Real-time pipeline leak detection and localization using an attention-based LSTM approach

Author:

Zhang Xinqi,Shi JihaoORCID,Yang Ming,Huang Xinyan,Usmani Asif Sohail,Chen Guoming,Fu Jianmin,Huang Jiawei,Li JunjieORCID

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference44 articles.

1. A deep learning model for process fault prognosis;Arunthavanathan;Process Saf. Environ. Prot.,2021

2. Leak-Diagnosis Approach for Water Distribution Networks based on a k-NN classification algorithm;Bermúdez;IFAC-Pap.,2020

3. A SCADA expansion for leak detection in a pipeline;Carrera;CEUR Workshop Proc.,2015

4. Leak diagnosis in pipelines based on a Kalman filter for linear parameter varying systems;Delgado-Aguiñaga;Control Eng. Pract.,2021

5. Multi-leak diagnosis in pipelines based on Extended Kalman Filter;Delgado-Aguiñaga;Control Eng. Pract.,2016

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