Novel physical network algorithm for indirect measurement of polished rod load of beam‐pumping unit-Reference-Cited by-同舟云学术

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Novel physical network algorithm for indirect measurement of polished rod load of beam‐pumping unit

Published:2019-05-13 Issue:10 Volume:2019 Page:7287-7292
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Wang Ke¹²³,Gong Guoliang¹,Shen Rongxuan¹,Wang An¹,Yao Zhaolin¹,Mao Wenyu¹,Lu Huaxiang¹²³⁴

Affiliation:

1. Lab of Artificial NetworksInstitute of Semiconductors, CASBeijingPeople's Republic of China

2. CAS Center for Excellence in Brain Science and Intelligence TechnologyShanghaiPeople's Republic of China

3. University of Chinese Academy of SciencesBeijingPeople's Republic of China

4. Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing TechnologyBeijingPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.5435

Reference30 articles.

1. WienerR.P.: ‘Sucker rod pump dynamometer’ Google Patents 1979

2. ChangV. MorenoN. AlvarezC.: ‘System for monitoring oil well performance’ Google Patents 1994

3. KraussA.F.: ‘Polished rod‐mounted pump control apparatus’ Google Patents 2015

4. Tracking the multi‐well surface dynamometer card state for a sucker‐rod pump by using a particle filter;Wang A.;IET Commun.,2018

5. LiuX. QiY. LiuC.et al.: ‘An approach to the computation of motor loading for a pumping unit’.2nd IEEE Int. Conf. on Industrial Mechatronics and Automation (ICIMA) Wuhan China 2010

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving the Estimation of a Sucker Rod Pumping Dynamometer Card Based on the Terminal Quantities of the Driving Motor;IEEE Access;2023

2. A Novel Hybrid Method for Indirect Measurement Dynamometer Card Using Measured Motor Power in Sucker Rod Pumping System;IEEE Sensors Journal;2022-07-15

3. Neural Network-Based Beam Pumper Model Optimization;Computational Intelligence and Neuroscience;2022-05-09

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