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组合方法在往复泵状态预测中的应用

刘文才, 张雪生, 陈铁, 胡家顺

刘文才, 张雪生, 陈铁, 胡家顺. 组合方法在往复泵状态预测中的应用[J]. 无损检测, 2014, 36(1): 19-23.
引用本文: 刘文才, 张雪生, 陈铁, 胡家顺. 组合方法在往复泵状态预测中的应用[J]. 无损检测, 2014, 36(1): 19-23.
LIU Wen-cai, ZHANG Xue-sheng, CHEN Tie, HU Jia-shun. Application of Composed Method in Trend Prediction of Reciprocating Pump[J]. Nondestructive Testing, 2014, 36(1): 19-23.
Citation: LIU Wen-cai, ZHANG Xue-sheng, CHEN Tie, HU Jia-shun. Application of Composed Method in Trend Prediction of Reciprocating Pump[J]. Nondestructive Testing, 2014, 36(1): 19-23.

组合方法在往复泵状态预测中的应用

基金项目: 

中国石油天然气集团公司科学研究与技术开发资助项目(2011D-4602-0103)

详细信息
    作者简介:

    刘文才(1984-),男,助理工程师,主要从事设备安全技术工作,动(静)设备检(监)测方向研究。

  • 中图分类号: X937;TG115.28

Application of Composed Method in Trend Prediction of Reciprocating Pump

  • 摘要: 往复泵是广泛应用于钻井、注水和压裂等工艺中的重要设备,其工作条件十分恶劣。往复泵能否正常运转对油田安全生产十分重要,因此对其易损件,如泵阀、活塞-缸套副、柱塞-密封副等的状态监测和趋势预测,成为往复泵故障诊断的关键问题。笔者主要探讨了往复泵的故障发展趋势,针对其故障诊断与预测的难点,采用组合预测模型进行趋势预测。通过往复泵预测实例分析,对往复泵液力端进行单步和多步预测。
    Abstract: The reciprocating pump which is important equipment in the processes is widely used in drilling, water injection and fracturing. The working condition is severe, so the condition of monitoring and trend prediction of its wearing parts, such as pump valve, piston-cylinder liner and plunger-seal pair become the key problem to the safe operation of reciprocating pumps. This paper researches on fault trend prediction method of reciprocating pump based on gray-neural network, and evaluation of equipment condition using the prediction results. According to fault development trend and difficulties of fault diagnosis and prediction of reciprocating pumps, a combinative prediction model with grey and neural network is selected, which has higher prediction accuracy and the effective degrees of prediction.
  • [1] 张文坤.基于神经网络的状态预测技术及其在给水泵中的应用[D].北京:华北电力大学,2004,2:26-28.
    [2] 唐小我.组合预测方法研究[J].控制与决策,1993,8(1):7-11.
    [3] 刘文才,陈铁.基于灰色-神经网络的往复泵状态监测和趋势预测研究[J].中国安全生产科学技术,2013,9(1):79-84.
    [4] 段礼祥,王福善.基于复合指标的往复泵柱塞-缸套磨损故障诊断[J].石油机械,2006,34(10):52-55.
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出版历程
  • 收稿日期:  2013-06-16
  • 刊出日期:  2014-01-09

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