Machine learning based sucker rod pump fault diagnosis using motor power curve
Relevance. The complexity of monitoring and diagnosing the condition of underground structural elements of sucker rod pumping units and large economic losses when operating this equipment with defects not identified in a timely manner. Aim. Development of methods for detecting faults in a sucker ro...
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Main Authors: | Othman H. Ahmed, Samuel I. Tecle, Anatoliy A. Zyuzev, Vladimir P. Metelkov |
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Format: | Article |
Language: | Russian |
Published: |
Tomsk Polytechnic University
2025-01-01
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Series: | Известия Томского политехнического университета: Инжиниринг георесурсов |
Subjects: | |
Online Access: | https://izvestiya.tpu.ru/archive/article/view/4610 |
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