机译:井下振动因子在钻孔工具可靠性大数据分析中的应用 - 评论
Department of Computer Science Georgia Institute of Technology;
Department of Electrical and Computer Engineering University of Houston;
Department of Mechanical Engineering University of Houston;
Department of Mechanical Engineering University of Houston;
Department of Mechanical Engineering University of Houston;
Department of Engineering Texas Southern University;
Downhole drilling vibration; Field reliability big data (FRBD); Lifetime prediction; Prognostics/diagnostics; Condition-based maintenance;
机译:井下振动因子在钻孔工具可靠性大数据分析中的应用 - 评论
机译:基于高频井下数据的增强刀具认证程序,提高钻孔工具可靠性
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机译:井下振动监测工具井下数据的开发和解释