| 钢丝绳柔性抽油杆系统故障诊断研究 |
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| 引用本文： | 姬广伟,王奎升.钢丝绳柔性抽油杆系统故障诊断研究[J].舰船防化,2006(3):7-10. |
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| 作者姓名： | 姬广伟 王奎升 |
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| 作者单位： | 北京化工大学机电工程学院 100029 |
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| 摘 要： | 本文介绍了利用人工神经网络(ANN)技术和计算机图像处理技术对钢丝绳柔性抽油杆抽油装置进行故障诊断的方法。对示功图进行了二值化、滤波和正规化处理,获得了人工神经网络的输入向量,输出结果则表示可能发生的故障形式。采用BP网络,最后给出了一个诊断实例。
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| 关 键 词： | 钢丝绳 抽油机 柔性抽油杆 示功图 故障诊断 人工神经网络(ANN) BP算法 |
Study of Fault Diagnoses of Flexible Wire Rope Sucker Rod Unit |
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| Ji Guang-wei,Wang Kui-sheng.Study of Fault Diagnoses of Flexible Wire Rope Sucker Rod Unit[J].Chemical Defence on Ships,2006(3):7-10. |
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| Authors: | Ji Guang-wei Wang Kui-sheng |
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| Abstract: | In this thesis, a method to recognize downhole dynagraphs of wire rope sucker rod pumping unit utilizing artificial neural network (ANN) and computer image processing technology is studied. After a series processing of binary conversion, filter and regularization processing, the input vector of the ANN is achieved, and then the output result of the ANN is the possible fault in pumping unit. The type of the ANN adopted is BP (Back propagation) network, and at last an actual example of diagnoses is given. |
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| Keywords: | Wire rope Pumping unit Flexible sucker rod Dynagraph Fault diagnoses Artificial neural network BP (Back propagation) algorithm |
| 本文献已被 CNKI 维普 等数据库收录！ |
