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Decomposition and reconstruction for non-stationary vibration signal of small engine

机译:小型发动机非平稳振动信号的分解与重构

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According to vibration signal of a small engine is non-stationary It extract the intrinsic mode function(IMF) of the signal through empirical mode decomposition(EMD).In order to overcome the mode mixing that happens in EMD, an improved EMD- ensemble empirical mode decomposition EEMD has been introduced. This dissertation analyses the reason of mixing and some solution at present, detailed introduces the basic principle, characteristics and related algorithm of EMD and EEMD. EEMD de-noising method was applied to analyze the vibration signals. With the simulation results of vibration signal, it points out that EEMD can solve the mode mixing, and at the same time reserve the adaptability of the EMD, it has no limits to the types of signals.
机译:根据小型发动机的振动信号是非平稳的,它通过经验模态分解(EMD)提取信号的本征模函数(IMF)。为克服EMD中发生的模态混合,改进了EMD系综经验引入了模式分解EEMD。本文分析了目前混合的原因和一些解决方案,详细介绍了EMD和EEMD的基本原理,特点和相关算法。采用EEMD去噪方法对振动信号进行分析。根据振动信号的仿真结果,指出EEMD可以解决模式混合问题,同时保留了EMD的适应性,对信号的类型没有限制。

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