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STP-Model: A semi-supervised framework with self-supervised learning capabilities for downhole fault diagnosis in sucker rod pumping systems

Zongchao Huang, Kewen Li, Zhifeng Xu, Ruonan Yin, Zhixuan Yang, Mei Wang, Shaoqiang Bing

2024Engineering Applications of Artificial Intelligence13 citationsDOI

Topics & Concepts

Computer scienceSucker rodSuckerFault (geology)Artificial intelligenceMachine learningSupervised learningReliability engineeringGeologyPetroleum engineeringArtificial neural networkSeismologyEngineeringMedicineAnatomyOil and Gas Production TechniquesReservoir Engineering and Simulation MethodsDrilling and Well Engineering
STP-Model: A semi-supervised framework with self-supervised learning capabilities for downhole fault diagnosis in sucker rod pumping systems | Litcius