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Estimation of the instantaneous rotation speed using complex shifted Morlet wavelets

机译:使用复位移Morlet小波估计瞬时转速

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The ability of the complex continuous wavelet transform (CCWT) to provide also an estimation of the instantaneous frequency of a signal, parallel to the estimation of the instantaneous amplitude of the signal, is proposed as an approach for the estimation of the instantaneous rotation speed of machinery. Complex shifted Morlet wavelets (CSMW) present a number of advantages. The concept of shifting the Morlet wavelet in the frequency domain allows the simultaneous optimal selection of both the wavelet center frequency and the wavelet bandwidth. In this paper it is shown that the recovery of the signal frequency can be performed accurately, without the requirement that the wavelet center frequency coincides to the signal frequency. Contrarily, the accurate recovery of the signal amplitude requires additionally this last condition. The algorithm is tested on two synthetic signals and four non-stationary experimental vibration signals, in an experimental fault test rig and in a motorcycle engine. The proposed instantaneous frequency estimation approach presents very good results and in comparison to the Hilbert Transform achieves a significantly lower RMSE.
机译:提出了复数连续小波变换(CCWT)还提供信号瞬时频率估计的能力,该能力与信号瞬时幅度的估计平行,是估计信号瞬时转速的一种方法。机械。复位移Morlet小波(CSMW)具有许多优点。在频域上移动Morlet小波的概念允许同时优化选择小波中心频率和小波带宽。本文表明,可以精确地执行信号频率的恢复,而无需小波中心频率与信号频率一致。相反,信号幅度的准确恢复还需要该最后条件。在实验故障测试台和摩托车发动机中,对两个合成信号和四个非平稳实验振动信号进行了测试。所提出的瞬时频率估计方法呈现出非常好的结果,并且与希尔伯特变换相比,RMSE大大降低。

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