Distributed Fiber Optic Warning Identification Algorithm for Oil and Gas Pipelines Based on the Inception-Dvs Model

Author:

Wang Chuan,Zhang Rui,Zhang Haifeng,Yang Yiyuan,Meng Jia,Ma Yunbin

Publisher

Elsevier BV

Reference33 articles.

1. Real-time pipeline leak detection and localization using an attentionbased LSTM approach;X Zhang;Process Safety and Environmental Protection,2023

2. Use of community mobile phone big location data to recognize unusual patterns close to a pipeline which may indicate unauthorized activities and possible risk of damage;S.-H Dong;Pet Sci,2017

3. Abnormal event monitoring of underground pipelines using a distributed fiber-optic vibration sensing system;L Luo;Measurement,2023

4. A unified convolutional neural network integrated with conditional random field for pipe defect segmentation;M Wang;Computer-Aided Civil and Infrastructure Engineering,2020

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