KnE Engineering

ISSN: 2518-6841

The latest conference proceedings on all fields of engineering.

Beam Pump Dynamometer Card Prediction using Artificial Neural Networks

Published date: Oct 15 2018

Journal Title: KnE Engineering

Issue title: Sustainability and Resilience Conference: Mitigating Risks and Emergency Planning – Engineering Track

Pages: 198–212

DOI: 10.18502/keg.v3i7.3083

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Automatic Recognition of Sucker-Rod Pumping System Working Conditions Using Dynamometer Cards with Transfer Learning and SVM, Sensors

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10.3390/s20195659

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Volume: 20, Issue: 2, First Page: 1142

10.1016/j.petsci.2023.02.017

Yun-Peng He, Hai-Bo Cheng, Peng Zeng, Chuan-Zhi Zang, Qing-Wei Dong, Guang-Xi Wan, Xiao-Ting Dong (2024)

Working condition recognition of sucker rod pumping system based on 4-segment time-frequency signature matrix and deep learning, Petroleum Science

Volume: 21, Issue: 1, First Page: 641

10.1016/j.petsci.2023.08.031

Zhizhou Zhu, Dongying Han, Zenian Liu, Bingfan Li, Zixuan Ge, Xinrui Yin, Xiao Wei (2025)

Research progress and prospects in fault diagnosis of pumping units using dynamometer cards, Engineering Research Express

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10.1088/2631-8695/ae0f3a

Yi Du, Peng Zhao, Ting Zhang, Yuqiang Xu (2021)

Fault Recognition of Indicator Diagrams Based on the Dynamic Time Warping Distance of Differential Curves, Mathematical Problems in Engineering

Volume: 2021, First Page: 1

10.1155/2021/6690930