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中文摘要：
根据混沌信号处理理论,研究分析了关联维数、最大Lyapunov指数和Kolmogorov熵等转子碰摩声发射源的非线性动力学特征量的特性。并将这些特征量作为神经网络的输入,研究了碰摩声发射源的定位问题。实验结果表明,该方法能较好地解决碰摩声发射源定位问题,为转子碰摩故障诊断提供依据。
英文摘要：
A nonlinear dynamic analysis of the acoustic emission（AE） signals in rotor rubbing was conducted based on the chaotic signal processing technique and such new features of nonlinear dynamics as correlation dimension,largest Lyapunov index and the Kolmogorov entropy were proposed herein.Simulation results reveal the neural network model employing these new features improves the localization efficiency of the AE source and contributes to the diagnosis of rotor rub-impact faults.
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