| 基于BP神经网络的有杆抽油系统故障智能判断 |
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| 引用本文： | 杨理践,徐世文,高松巍. 基于BP神经网络的有杆抽油系统故障智能判断[J]. 沈阳工业大学学报, 2004, 26(6): 667-669 |
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| 作者姓名： | 杨理践 徐世文 高松巍 |
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| 作者单位： | 沈阳工业大学,信息科学与工程学院,辽宁,沈阳,110023 |
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| 基金项目： | 国家自然科学基金资助项目(60272015) |
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| 摘 要： | 神经网络已成为智能化数字信号处理学科的热点之一，其中又以BP神经网络的应用最为广泛．BP神经网络由于本身具有理论上可以逼近任意非线性映射的特点和优点，使得它在解决多数参数复杂的实际问题上具有广阔的应用前景．对BP神经网络在有杆抽油系统故障判断智能化方面进行探讨和研究。
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| 关 键 词： | 示功图 BP神经网络 波动方程 故障判断 |
| 文章编号： | 1000-1646(2004)06-0667-03 |
| 修稿时间： | 2003-07-24 |
Fault intelligent diagnosis of pumping unit based on BP neural network |
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| YANG Li-jian,XU Shi-wen,GAO Song-wei. Fault intelligent diagnosis of pumping unit based on BP neural network[J]. Journal of Shenyang University of Technology, 2004, 26(6): 667-669 |
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| Authors: | YANG Li-jian XU Shi-wen GAO Song-wei |
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| Abstract: | Abstract: Neural network has been one of hotspots in processing pipeline MFL digital signal,among that BP neural network is widely applied.Because it has the character of approaching the map of continuous nonlinearity at random in theory,BP neural network has a good outlook in solving the complex problem which has excessive parameters.Here we are going to do some research work about the application of BP neural network in intelligent fault diagnosis of pumping unit. |
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| Keywords: | dynagraph BP neural network wave equation fault diagnosis |
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