An evolutional deep learning method based on multi-feature fusion for fault diagnosis in sucker rod pumping system
As the smart oilfield has grown, various deep learning technologies are being utilized to recognize the graphic feature of the indicator diagram in order to detect the fault type of rod pump system, so as to maintain the oilfield's regular production. However, the original data for the indicato...
Main Authors: | Juanni Li, Jun Shao, Wei Wang, Wenhao Xie |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-03-01
|
Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S111001682200758X |
Similar Items
-
SUCKER ROD PUMPING SYSTEM: CHALLENGES TO DEVELOP DIAGNOSTIC SYSTEM AND ROLE OF DYNAMIC SIMULATOR
by: Anatolii M. Ziuzev, et al.
Published: (2022-01-01) -
Gear Fault Diagnosis based on Feature Fusion and Sparse Representation
by: Wang Jiangping, et al.
Published: (2017-01-01) -
CNN-Based Feature Fusion Motor Fault Diagnosis
by: Long Qian, et al.
Published: (2022-08-01) -
Research on the Gearbox Fault Diagnosis Method Based on Multi-Model Feature Fusion
by: Fengyun Xie, et al.
Published: (2022-12-01) -
Unsupervised Fault Diagnosis of Sucker Rod Pump Using Domain Adaptation with Generated Motor Power Curves
by: Dezhi Hao, et al.
Published: (2022-04-01)