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《Application of Electronic Technique》 2008-02
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Magnetic flux leakage signal acquisition and processing based on multi-sensor data fusion

XIA Yu Bao HE Fu Yun GE Fei (School of Computer and Information,Hefei University of Technology,Hefei 230009,China)  
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. The results show that it improves the detection ability and the precision of the signal.
【Fund】: 国家科技部科研资助项目(Z00-G03)
【CateGory Index】: TP274
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