| 抽油井示功图神经网络识别模型 |
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| 引用本文： | 潘志坚,葛家理,张琪. 抽油井示功图神经网络识别模型[J]. 中国石油大学学报(自然科学版), 1996, 0(2) |
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| 作者姓名： | 潘志坚 葛家理 张琪 |
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| 作者单位： | 石油大学石油工程系 |
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| 摘 要： | 以专家经验及大量的现场实例为基础，应用模糊数学与人工神经网络技术理论，建立了有限个精选井下示功图和反向传播的神经网络示功图识别模型．该识别系统可初步用于对现场实测示功图进行识别诊断，性能基本稳定，能有效地诊断抽油机的故障类型．
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| 关 键 词： | 示功图；模式识别；神经网络 |
ARTIFICIAL NEURAL NETWORKS FOR IDENTIFICATION OF BEAM PUMP DYNAMOMETER CARDS |
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| Pan Zhijian ,Ge Jiali, Zhang qi. ARTIFICIAL NEURAL NETWORKS FOR IDENTIFICATION OF BEAM PUMP DYNAMOMETER CARDS[J]. Journal of China University of Petroleum (Edition of Natural Sciences), 1996, 0(2) |
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| Authors: | Pan Zhijian Ge Jiali Zhang qi |
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| Abstract: | Based on fuzzy theory and the expertise, this paper presents the application of artificial neural network to pump card diagnosis. The network system has passed the test on field pump cards since it learned to identify a selected pump card set. |
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| Keywords: | Dynamometer card Pattern recognition Neural network |
| 本文献已被 CNKI 等数据库收录！ |
