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A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis

机译:一种简单快速的指南,用于从频谱相干性生成增强/平方包络频谱以进行轴承故障诊断

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摘要

Rolling element bearings are widely used in machines to support rotating shafts and their health conditions degrade over time due to harsh working conditions. Once a fault occurs on the surface of either an inner race or an outer race, impacts caused by rollers striking the fault surface excite resonant frequencies of a machine and then repetitive transients are observed in vibration signals collected from the casing of the machine. Spectral correlation and its normalized version, spectral coherence, are a function of spectral frequency and cyclic frequency, and they are able to simultaneously display resonant frequency bands and bearing fault frequencies. Moreover, it has been proved that integrating spectral correlation over an informative spectral frequency band is related to a squared envelope spectrum which is more conveniently used to detect bearing fault frequencies than the direct inspection of the bi-spectra map of spectral correlation/spectral coherence. Therefore, generating enhanced/squared envelope spectra from spectral correlation/spectral coherence is an important step for the use of spectral correlation/spectral coherence for bearing fault diagnosis. However, in the past years, determining informative spectral frequency bands for generating enhanced/squared envelope spectra from spectral correlation/spectral coherence mainly depends on expertise and careful observations from spectral correlation/ spectral coherence. In the case of weak bearing fault frequencies and strong interruptions from other cyclic frequencies, it is not easy for users to determine an informative spectral frequency band for generating an enhanced/squared envelope spectrum from spectral correlation/spectral coherence for bearing fault diagnosis. To solve this problem, a simple and fast guideline is proposed in this paper, Laboratorial bearing fault data and industrial railway axle bearing fault data are used to illustrate how the proposed guideline works. Results showed that the proposed guideline is effective in determining informative spectral frequency bands for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis. Comparisons with the fast Kurtogram and an enhanced squared envelope spectrum generated from integrating spectral coherence over the whole spectral frequency band are conducted to highlight the superiority of the proposed guideline. (C) 2018 Elsevier Ltd. All rights reserved.
机译:滚动轴承在机器中广泛用于支撑旋转轴,并且由于恶劣的工作条件,其健康状况会随着时间的推移而降低。一旦在内圈或外圈的表面上发生故障,由滚子撞击故障表面引起的冲击就会激发机器的共振频率,然后在从机器外壳收集的振动信号中观察到重复的瞬变。频谱相关及其规范化版本(频谱相干性)是频谱频率和循环频率的函数,并且它们能够同时显示谐振频带和轴承故障频率。此外,已经证明,在信息频谱频带上积分频谱相关性与平方包络频谱有关,与直接检查频谱相关性/频谱相干性的双频谱图相比,该频谱更容易用于检测轴承故障频率。因此,从频谱相关性/频谱相干性生成增强/平方包络频谱是将频谱相关性/频谱相干性用于轴承故障诊断的重要步骤。然而,在过去的几年中,从光谱相关性/光谱相干性确定用于产生增强/平方包络光谱的信息性光谱频带主要取决于专业知识和对光谱相关性/光谱相干性的仔细观察。对于较弱的轴承故障频率和与其他循环频率的强烈干扰,用户很难确定有用的频谱频段,以便根据频谱相关性/频谱相干性来生成增强的/平方包络频谱,以进行轴承故障诊断。为了解决这个问题,本文提出了一种简单,快速的指南,利用实验室轴承故障数据和工业铁路车轴轴承故障数据来说明该指南的工作原理。结果表明,所提出的指南可有效地确定信息频谱频段,从而根据频谱相干性生成增强/平方包络频谱,以进行轴承故障诊断。与快速Kurtogram和通过在整个频谱频段上整合频谱相干性而生成的增强平方包络频谱进行了比较,以突出提出的准则的优越性。 (C)2018 Elsevier Ltd.保留所有权利。

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