Detection of Pumping Unit in Complex Scenes by YOLOv7 with Switched Atrous Convolution

Detection of Pumping Unit in Complex Scenes by YOLOv7 with Switched Atrous Convolution

The petroleum and natural gas industries exhibit a high dependency on lifting equipment for oil and gas. Any malfunction in these devices can lead to severe economic losses. Therefore, continuous and timely monitoring of the status of pumping equipment is of paramount importance to proactively preve...

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Bibliographic Details
Main Authors: Zewen Song, Kai Zhang, Xiaolong Xia, Huaqing Zhang, Xia Yan, Liming Zhang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Energies
Subjects:
oil pumping unit
oilfield development
computer vision
unconventional scene object detection
switchable atrous convolution
Online Access:https://www.mdpi.com/1996-1073/17/4/835

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https://www.mdpi.com/1996-1073/17/4/835

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