Machine learning based sucker rod pump fault diagnosis using motor power curve

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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Bibliographic Details
Main Authors: Othman H. Ahmed, Samuel I. Tecle, Anatoliy A. Zyuzev, Vladimir P. Metelkov
Format: Article
Language:Russian
Published: Tomsk Polytechnic University 2025-01-01
Series:Известия Томского политехнического университета: Инжиниринг георесурсов
Subjects:
sucker rod pump
motor power curve
dynamometer card
fault diagnosis
machine learning algorithms
Decision tree
Online Access:https://izvestiya.tpu.ru/archive/article/view/4610
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