Research on Feature Extraction of Indicator Card Data for Sucker-Rod Pump Working Condition Diagnosis
Joint Authors
Shi, Haitao
Yu, Yunhua
Mi, Lifei
Source
Journal of Control Science and Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-22
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Three feature extraction methods of sucker-rod pump indicator card data have been studied, simulated, and compared in this paper, which are based on Fourier Descriptors (FD), Geometric Moment Vector (GMV), and Gray Level Matrix Statistics (GLMX), respectively.
Numerical experiments show that the Fourier Descriptors algorithm requires less running time and less memory space with possible loss of information due to nonoptimal numbers of Fourier Descriptors, the Geometric Moment Vector algorithm is more time-consuming and requires more memory space, while the Gray Level Matrix Statistics algorithm provides low-dimension feature vectors with more time consumption and more memory space.
Furthermore, the characteristic of rotational invariance, both in the Fourier Descriptors algorithm and the Geometric Moment Vector algorithm, may result in improper pattern recognition of indicator card data when used for sucker-rod pump working condition diagnosis.
American Psychological Association (APA)
Yu, Yunhua& Shi, Haitao& Mi, Lifei. 2013. Research on Feature Extraction of Indicator Card Data for Sucker-Rod Pump Working Condition Diagnosis. Journal of Control Science and Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-484507
Modern Language Association (MLA)
Yu, Yunhua…[et al.]. Research on Feature Extraction of Indicator Card Data for Sucker-Rod Pump Working Condition Diagnosis. Journal of Control Science and Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-484507
American Medical Association (AMA)
Yu, Yunhua& Shi, Haitao& Mi, Lifei. Research on Feature Extraction of Indicator Card Data for Sucker-Rod Pump Working Condition Diagnosis. Journal of Control Science and Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-484507
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484507