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Sucker Rod Pump Working State Diagnosis Using Motor Data and Hidden Conditional Random Fields
Boyuan Zheng, Xianwen Gao,
Rong Pan
Assured and Scalable Data Engineering, Center for (CASCADE)
Computing and Augmented Intelligence, School of (IAFSE-SCAI)
Computer Science and Engineering
Industrial, Systems and Operations Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
23
Scopus citations
Overview
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Dive into the research topics of 'Sucker Rod Pump Working State Diagnosis Using Motor Data and Hidden Conditional Random Fields'. Together they form a unique fingerprint.
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Engineering
Random Field
100%
Rod Pump
100%
Sucker Rod
100%
Motor Power
80%
Energy Engineering
20%
Experimental Result
20%
Power Output
20%
Collected Data
20%
Developed Device
20%
Power Source
20%
Random Field Model
20%
Dynamometer Card
20%
Keyphrases
Hidden Conditional Random Fields
100%
Oil Exploitation
16%