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A weighting function for improvement of spectral coherence based envelope spectrum

机译：基于频谱相干信封谱改进的加权功能

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摘要

Envelope analysis plays an essential role in fault diagnostics of rotating machinery. One popular method to attain the envelope spectrum is to integrate the spectral coherence over a chosen spectral frequency band. Considering the recently developed algorithm for fast estimation of spectral coherence, the present study proposes a weighting function used for the integration. Noting that the spectral coherence for a cyclostationary signal appears with a periodic pattern along the cyclic frequency axis, the weighting function is designed by calculating the autocorrelation over the cyclic frequency domain of the spectral coherence. This improves the envelope spectrum estimation, as spectral bands with high autocorrelations are amplified in the course of integration. Without consideration of fault characteristics, the proposed idea alleviates the burden of selecting the frequency band for integration. Experimental measurements from the cavitating propeller and faulty bearing demonstrate its usage in challenging scenarios such as noisy situations or multiple types of faults.
机译：信封分析在旋转机械的故障诊断中起着重要作用。实现包络频谱的一种流行方法是通过所选光谱频带的光谱相干性集成。考虑到最近开发的用于快速估计光谱相干性的算法，本研究提出了用于集成的加权函数。注意到，通过沿循环频率轴的周期性图案出现睫状锥形信号的光谱相干性，通过计算光谱相干域的循环频域的自相关来设计加权函数。这改善了包络频谱估计，因为在集成过程中，具有高自相关的光谱带被放大。如果不考虑故障特征，所提出的想法减轻了选择频段集成的负担。空化螺旋桨和故障轴承的实验测量展示其在具有挑战性的情况下的使用，例如嘈杂的情况或多种类型的故障。

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