Uncovering harmonic content via skewness maximization - a Fourier analysis

Aziz Kubilay Ovacikli, Patrik Pääjärvi, J. LeBlanc, J. Carlson
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引用次数: 3

Abstract

Blind adaptation with appropriate objective function results in enhancement of signal of interest. Skewness is chosen as a measure of impulsiveness for blind adaptation to enhance impacting sources arising from defective rolling bearings. Such impacting sources can be modelled with harmonically related sinusoids which leads to discovery of harmonic content with unknown fundamental frequency by skewness maximization. Interfering components that do not possess harmonic relation are simultaneously suppressed with proposed method. An experimental example on rolling bearing fault detection is given to illustrate the ability of skewness maximization in uncovering harmonic content.
通过偏度最大化揭示谐波内容-傅里叶分析
采用适当的目标函数进行盲适应,使感兴趣的信号得到增强。选择偏度作为冲量的度量来进行盲适应,以增强由滚动轴承缺陷引起的冲击源。这种冲击源可以用谐波相关的正弦波建模,通过偏度最大化可以发现基频未知的谐波成分。该方法能同时抑制不具有谐波关系的干扰分量。给出了滚动轴承故障检测的一个实验实例,说明了偏度最大化在揭示谐波含量方面的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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