| 基于多传感器数据融合的漏磁信号采集与处理 |
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| 引用本文： | 夏玉宝,何辅云,葛飞.基于多传感器数据融合的漏磁信号采集与处理[J].电子技术应用,2008,34(2):116-118. |
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| 作者姓名： | 夏玉宝 何辅云 葛飞 |
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| 作者单位： | 合肥工业大学,计算机与信息学院,安徽,合肥,230009;合肥工业大学,计算机与信息学院,安徽,合肥,230009;合肥工业大学,计算机与信息学院,安徽,合肥,230009 |
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| 摘 要： | 漏磁检测以其高信噪比、高灵敏度和高检测效率,在无损检测中得到了广泛应用。随着科学技术的发展,传统的信号处理方法越来越不适应现代工业的需要,提出一种基于多传感器数据融合技术的漏磁信号处理方法。采用小波去噪的方法,并利用径向基函数(RBF)神经网络的数据融合技术对缺陷信号进行检测处理。仿真结果表明,采用这种方法可以有效提高系统的检测能力和信号精度。
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| 关 键 词： | 漏磁检测 多传感器技术 数据融合 小波去噪 RBF神经网络 |
| 修稿时间： | 2007年7月19日 |
Magnetic flux leakage signal acquisition and processing based on multi-sensor data fusion |
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| XIA Yu Bao,HE Fu Yun,GE Fei.Magnetic flux leakage signal acquisition and processing based on multi-sensor data fusion[J].Application of Electronic Technique,2008,34(2):116-118. |
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| Authors: | XIA Yu Bao HE Fu Yun GE Fei |
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| Affiliation: | XIA Yu Bao HE Fu Yun GE Fei (School of Computer , Information,Hefei University of Technology,Hefei 230009,China) |
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| Abstract: | Magnetic flux leakage testing method is widely applied for high signal-to-noise,high sensitivity and detection efficiency in nondestructive testing.According to development of Science and technology,traditional signal processing method modem industry' need.So this article introduces a magnetic flux leakage signal process method based on multi-sensor data fusion technology.With the wavelet denoising algorithm,the flaw signal is detected by data fusion technology of radial basis function (RBF) neural network.... |
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| Keywords: | magnetic flux leakage testing multi-sensor technology data fusion wavelet denoising RBF neural network |
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