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    GAO Xia-Xia, WANG Wei, GENG Rong-Sheng. The Neural Network Pattern Recognition of Crack AE Signal During Aircraft Fatigue Testing[J]. Nondestructive Testing, 2010, 32(5): 314-316.
    Citation: GAO Xia-Xia, WANG Wei, GENG Rong-Sheng. The Neural Network Pattern Recognition of Crack AE Signal During Aircraft Fatigue Testing[J]. Nondestructive Testing, 2010, 32(5): 314-316.
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    The Neural Network Pattern Recognition of Crack AE Signal During Aircraft Fatigue Testing

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    • Received Date: August 20, 2009
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    • Utilizing the FFT and wavelet methods to analyze the original crack AE(Acoustic Emission) signal during aircraft fatigue testing, but the results were not ideal. Then, the neural network pattern recognition method was hence applied, and the crack AE waveform was extracted. The experiment put forward a reference to AE signal pattern recognition under strong background noise as fatigue testing.
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    • [1]
      耿荣生, 王本志, 景鹏, 等.某型飞机主起落架支柱外筒头部枢轴疲劳损伤的声发射监测［J］.无损检测, 2008, 30(3): 142-145.
      [2]
      耿荣生, 沈功田, 刘时风.声发射信号处理和分析技术［J］.无损检测, 2002, 24(1): 23-28.
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