| 小波神经网络在无线随钻测量系统在泥浆信号检测中的应用研究 |
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| 引用本文： | 张伟,师奕兵,卢涛.小波神经网络在无线随钻测量系统在泥浆信号检测中的应用研究[J].电子测量与仪器学报,2008,22(6). |
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| 作者姓名： | 张伟 师奕兵 卢涛 |
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| 作者单位： | 1. 电子科技大学自动化工程学院,成都,610054
2. 电子科技大学自动化工程学院,成都,610054;中海油田服务股份有限公司技术中心,北京,101149 |
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| 基金项目： | 国家高技术研究发展计划(863计划)
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教育部新世纪优秀人才支持计划
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中海油企业发展基金
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| 摘 要： | 本文首先对石油工程无线随钻测量系统中的泥浆脉冲信号以及存在的噪声干扰源进行了详细地分析,接着讨论了运用小波神经网络阈值去噪处理技术从频率不固定的多频强噪声背景下检测出有效信号的方法.实际处理结果表明,小波神经网络阈值去噪处理是一种行之有效的泥浆脉冲信号检测方法,具有一定的实用价值.
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| 关 键 词： | 泥浆脉冲信号 随钻测量 小波神经网络 去噪 |
Research on Application of Wavelet Neural Network to Mud Signal Detection in Wireless Measurement While Drilling |
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| Zhang Wei,Shi Yibing,Lu Tao.Research on Application of Wavelet Neural Network to Mud Signal Detection in Wireless Measurement While Drilling[J].Journal of Electronic Measurement and Instrument,2008,22(6). |
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| Authors: | Zhang Wei Shi Yibing Lu Tao |
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| Affiliation: | Zhang Wei1 Shi Yibing1 Lu Tao1,2 (1.School of Automation Engineering,UEST of china,Chengdu 610054,China,2.Technical Center,China Oilfield Services Co.Ltd.,Beijing 101149,China) |
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| Abstract: | In this paper,the characteristics of mud pulse signals and noise sources in wireless measurement while drilling system in petroleum oil logging engineering are analyzed in detail firstly.Secondly,a new de-noising method based on wavelet neural network principle is presented to detect weak mud pulse signals which are buried under strong background noises.Moreover,the frequencies of these background noises have unfixed and multiple features.Finally,experimental results are provided to show that the proposed d... |
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| Keywords: | mud pulse signal measurement while drilling wavelet neural network de-noising |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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