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The Pattern Recognition Of Non-Destructive Testing Based On HMM

机译:基于HMM的无损检测模式识别。

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摘要

A method of fault pattern recognition based on signal processing and characteristic reconstructed is presented in this paper. Hidden Markov model (HMM), which is initially employed in the field of speech signal processing is introduced into fault pattern recognition of non-destructive testing(NDT), which makes fault in aviation material reconstructed automatically the help of computer analysis and control system. It brings practical application for aviation material quality and safety use.
机译:提出了一种基于信号处理和特征重构的故障模式识别方法。最初在语音信号处理领域中采用的隐马尔可夫模型(HMM)被引入到无损检测(NDT)的故障模式识别中,该故障模式识别可以借助计算机分析和控制系统自动重建航空材料中的故障。它为航空材料质量和安全使用带来了实际应用。

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