A Fault Diagnosis Method for Oil Well Pump Using Radial Basis Function Neural Network Combined with Modified Genetic Algorithm
Joint Authors
Yu, Deliang
Li, Yanmei
Sun, Hao
Ren, Yulong
Zhang, Yongming
Qi, Weigui
Source
Journal of Control Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-08
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
This paper presents a new method to diagnose oil well pump faults using a modified radial basis function neural network.
With the development of submersible linear motor technology, rodless pumping units have been widely used in oil exploration.
However, the ground indicator diagram method cannot be used to diagnose the working conditions of rodless pumping units because it is based on the load change of the polished rod suspension point and its displacement.
To solve this problem, this paper presents a new method that is applicable to rodless oil pumps.
The advantage of this new method is its use of a simple feature extraction method and advanced genetic algorithm to optimize the threshold and weight of the RBF neural network.
In this paper, we extract the characteristic value from the operation parameters of the submersible linear motor and oil wellhead as the input vector of the fault diagnosis model.
Through experimental analysis, the proposed method is proven to have good convergence performance, high accuracy, and high reliability.
American Psychological Association (APA)
Yu, Deliang& Li, Yanmei& Sun, Hao& Ren, Yulong& Zhang, Yongming& Qi, Weigui. 2017. A Fault Diagnosis Method for Oil Well Pump Using Radial Basis Function Neural Network Combined with Modified Genetic Algorithm. Journal of Control Science and Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1173491
Modern Language Association (MLA)
Yu, Deliang…[et al.]. A Fault Diagnosis Method for Oil Well Pump Using Radial Basis Function Neural Network Combined with Modified Genetic Algorithm. Journal of Control Science and Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1173491
American Medical Association (AMA)
Yu, Deliang& Li, Yanmei& Sun, Hao& Ren, Yulong& Zhang, Yongming& Qi, Weigui. A Fault Diagnosis Method for Oil Well Pump Using Radial Basis Function Neural Network Combined with Modified Genetic Algorithm. Journal of Control Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1173491
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173491