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實倒譜分析識別周期性特征信號

An Analysis of Repetitive Signals by Cepstrum

  • 摘要: 本文把旋轉機械故障產生的周期性激勵—周期性特征信號分解成“波形”與“特征脈沖序列”的卷積,提出了有關周期性特征信號幅值調制、相位調制、波形畸變以及背景噪聲四種類型噪聲的概念。在此基礎上,應用解卷積理論,對實倒譜分析識別周期性特征信號問題進行了研究。并在計算機上討論了各種類型噪聲對實倒譜分析的影響。研究表明,周期性特征信號在實倒譜上將形成依次遞減的倒諧頻結構,其大小僅與特征信號本身的穩定性有關,與信號的大小、形狀無關,且最大值不超過1。分析結論較好地解釋了文獻以及作者的應用實例。

     

    Abstract: The effects of instability in repetitive signals acquired from rotatingmachines, can be critical in the extraction of Periodic signatures by cepstrum analysis for diagnostic applications. In this Paper, the rePetit-ive signal is decomposed into two components, i. e. waveform an'd rePeti-tive Pulse series. The effects of instability are represented by the levels of magnitude modulation, phase modulation, wave deformation and background noise. Based on the theory of deconvolution, a discussion on Perio dic signature analysis through cePstrum is Presented, which shows that Periodic signatures can be represented by the harmonics in cepstrum which only have relationship with the level of instability. This results can be very helpful for practical applications.

     

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