| 改进BP神经网络在管道泄漏检测中的应用 |
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| 引用本文： | 陈志勇,李书臣,翟春艳,王可.改进BP神经网络在管道泄漏检测中的应用[J].河南科技大学学报(自然科学版),2008,29(3):44-47. |
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| 作者姓名： | 陈志勇 李书臣 翟春艳 王可 |
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| 作者单位： | 辽宁石油化工大学,信息与控制工程学院,辽宁,抚顺,113001 |
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| 摘 要： | 管道泄漏检测和定位在管道的安全生产中占有重要的位置.本文将用小波包分解技术提取的管道泄漏检测系统特征信号作为神经网络的输入,建立管道运行状态的神经网络分类器,根据输出对管道的运行状态进行识别.利用小波变换特性提取压力传感器的信号奇异点,根据负压力波定位法对管道泄漏点定位,仿真结果验证了该方法的有效性.
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| 关 键 词： | 神经网络 输油管道 小波变换 负压力波 |
| 文章编号： | 1672-6871(2008)03-0044-04 |
| 修稿时间： | 2007年10月24 |
Application of Improved BP Network to Leak-detecting System of Pipeline |
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| CHEN Zhi-Yong,LI Shu-Chen,ZHAI Chun-Yan,WANG Ke.Application of Improved BP Network to Leak-detecting System of Pipeline[J].Journal of Henan University of Science & Technology:Natural Science,2008,29(3):44-47. |
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| Authors: | CHEN Zhi-Yong LI Shu-Chen ZHAI Chun-Yan WANG Ke |
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| Institution: | CHEN Zhi-Yong,LI Shu-Chen,ZHAI Chun-Yan,WANG Ke (School of Information & Control Engineering,Liaoning Shihua University,Fushun 113001,China) |
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| Abstract: | The leak detection and location of the pipeline play a very important role in safe operation.This kind of characteristic signals in pipeline leak-detecting system are extracted by the wavelet analysis as the neural network's inputs in this paper,and neural network classify equipment is established for the identification of pipeline operating state through the outputs of neural network.The signal singularity of pressure sensors is extracted by wavelet-transform characteristic,and then the pipeline leaking po... |
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| Keywords: | Neural network Transporting-oil pipeline Wavelet transform Negative pressure wave |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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