Abnormal Detection of Pumping Unit Bearing Based on Extension Theory

2021 ◽  
Author(s):  
Zhiming Zhang
Keyword(s):  
Extension Theory ◽  
Abnormal Detection ◽  
Pumping Unit

Research Concerning the Identification of Some Parameters of a Sucker Rod Pumping Unit

2017 ◽  
Vol 68 (10) ◽  
pp. 2289-2292
Author(s):  
Dorin Badoiu ◽  
Georgeta Toma
Keyword(s):  
Computer Program ◽  
Essential Role ◽  
Automated Systems ◽  
Maintenance Costs ◽  
Motor Torque ◽  
Unit Process ◽  
Sucker Rod ◽  
Pumping Unit

One of the solutions to reduce the production and maintenance costs of the sucker rod pumping installations is to develop automated systems for regulating and controlling their operations. The development of these automated systems requires an attentive modeling of the dynamics of the mechanism of the pumping unit, process in which the identification of the values of the parameters involved in the calculations plays an essential role. The paper presents the manner of determining the values of some parameters of the mechanism of a C-320D-256-100 pumping unit starting from the variation on a cinematic cycle of the motor torque at the crank shaft. Simulations were performed with a computer program developed by the authors, and the experimental records were processed with the program Total Well Management.

Modeling of Dynamic Loads on the Polished Rod of Pumping Unit in Case of Mulfunction of Rod Pump Operating

2014 ◽  
Vol 10 ◽  
pp. 95-101
Author(s):  
A.S. Topolnikov
Keyword(s):  
Multiphase Flow ◽  
Satisfactory Agreement ◽  
Model Simulation ◽  
Theoretical Modeling ◽  
Dynamic Loads ◽  
Plunger Pump ◽  
Proposed Model ◽  
Pumping Unit ◽  
Polished Rod

The paper presents the results of theoretical modeling of joined movement of pump rods and plunger pump and multiphase flow in a well for determination of dynamic loads on the polished rod of pumping unit. The specificity of the proposed model is the possibility of taking into account for complications in rod pump operating, such as leakage in valve steam, presence of gas and emulsion, incorrect fitting of plunger inside the cylinder pump. The satisfactory agreement of results of the model simulation with filed measurements are obtained.

Extension theory for symmetric operators and boundary value problems for differential equations

1989 ◽  
Vol 41 (10) ◽  
pp. 1117-1129 ◽  
Author(s):  
V. I. Gorbachuk ◽  
M. L. Gorbachuk ◽  
A. N. Kochubei
Keyword(s):  
Differential Equations ◽  
Boundary Value Problems ◽  
Boundary Value ◽  
Extension Theory ◽  
Symmetric Operators

scholarly journals Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory With the Attention Mechanism

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 47252-47265
Author(s):  
Jiahao Bian ◽  
Lei Wang ◽  
Rafal Scherer ◽  
Marcin Wozniak ◽  
Pengchao Zhang ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Short Term Memory ◽  
Particle Swarm ◽  
Electricity Consumption ◽  
Attention Mechanism ◽  
Short Term ◽  
Swarm Optimization ◽  
Term Memory ◽  
Abnormal Detection ◽  
Long Short Term Memory

scholarly journals Evaluation Model of Operation State Based on Deep Learning for Smart Meter

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4674
Author(s):  
Qingsheng Zhao ◽  
Juwen Mu ◽  
Xiaoqing Han ◽  
Dingkang Liang ◽  
Xuping Wang
Keyword(s):  
Deep Learning ◽  
Power Consumption ◽  
Detection Efficiency ◽  
Evaluation Model ◽  
Smart Meter ◽  
Smart Meters ◽  
Abnormal Detection ◽  
Prediction Residual ◽  
Threshold Setting ◽  
Training Efficiency

The operation state detection of numerous smart meters is a significant problem caused by manual on-site testing. This paper addresses the problem of improving the malfunction detection efficiency of smart meters using deep learning and proposes a novel evaluation model of operation state for smart meter. This evaluation model adopts recurrent neural networks (RNN) to predict power consumption. According to the prediction residual between predicted power consumption and the observed power consumption, the malfunctioning smart meter is detected. The training efficiency for the prediction model is improved by using transfer learning (TL). This evaluation uses an accumulator algorithm and threshold setting with flexibility for abnormal detection. In the simulation experiment, the detection principle is demonstrated to improve efficient replacement and extend the average using time of smart meters. The effectiveness of the evaluation model was verified on the actual station dataset. It has accurately detected the operation state of smart meters.

Fracture analysis of a connecting rod for oil pumping unit in China western oilfield

2019 ◽  
Vol 105 ◽  
pp. 313-320 ◽  
Author(s):  
H. Ding ◽  
J.F. Xie ◽  
Z.Q. Bai ◽  
Y. Li ◽  
Y. Long ◽  
...  
Keyword(s):  
Fracture Analysis ◽  
Connecting Rod ◽  
Pumping Unit

scholarly journals A Novel Extension Decision-Making Method for Selecting Solar Power Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Meng-Hui Wang
Keyword(s):  
Decision Making ◽  
Solar System ◽  
Power Systems ◽  
Power System ◽  
Solar Power ◽  
Important Task ◽  
Extension Theory ◽  
Solar Systems ◽  
Load Demand ◽  
Generating Capacity

Due to the complex parameters of a solar power system, the designer not only must think about the load demand but also needs to consider the price, weight, and annual power generating capacity (APGC) and maximum power of the solar system. It is an important task to find the optimal solar power system with many parameters. Therefore, this paper presents a novel decision-making method based on the extension theory; we call it extension decision-making method (EDMM). Using the EDMM can make it quick to select the optimal solar power system. The paper proposed this method not only to provide a useful estimated tool for the solar system engineers but also to supply the important reference with the installation of solar systems to the consumer.

Coal and gas outburst prediction model based on extension theory and its application

2021 ◽  
Author(s):  
Wei Wang ◽  
Hanpeng Wang ◽  
Bing Zhang ◽  
Su Wang ◽  
Wenbin Xing
Keyword(s):  
Prediction Model ◽  
Coal And Gas Outburst ◽  
Extension Theory ◽  
Gas Outburst ◽  
Model Based

scholarly journals Volumetric Flow Observer For A Pumping Unit Without Backpressure With Induction Electric Drive

2020 ◽  
Vol 1546 ◽  
pp. 012049
Author(s):  
O A Lysenko ◽  
A V Simakov
Keyword(s):  
Electric Drive ◽  
Pumping Unit ◽  
Induction Electric Drive
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