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Bearing fault Detection in Synchronous Machine based on the Statistical Analysis of Stator Current

机译:基于定子电流统计分析的同步电机轴承故障检测

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摘要

In this paper, an original method to compute an indicator for efficient detection of bearing defaults in high speed synchronous machines is presented. This indicator is based on the statistical analysis of the stator current spectrum. The principle of the method is to compare the current spectrum to a healthy reference spectrum. The reference spectrum is used to center and reduce the current spectrum and provides an indication on its difference from the reference spectrum. A statistical based indicator is then constructed as the sum of the contributions of the centered reduced spectrum for different interesting frequency bands. This indicator has been tested on 2 different test campaigns, for 4 different speeds and compared a vibratory indicator. Results show that the proposed indicator evolves the same way than the vibratory indicator and provides with an efficient detection of bearing fault with only very few false alarms.
机译:本文提出了一种计算指标的有效方法,该指标可有效检测高速同步电机中的轴承故障。该指标基于定子电流频谱的统计分析。该方法的原理是将当前频谱与正常参考频谱进行比较。参考频谱用于居中和减小当前频谱,并提供其与参考频谱之间差异的指示。然后,将基于统计的指标构建为针对不同有趣频段的集中缩减频谱贡献的总和。该指示器已在2种不同的测试活动中进行了测试,并以4种不同的速度进行了测试,并比较了振动指示器。结果表明,所提出的指示器与振动指示器的发展方式相同,并且可以有效地检测轴承故障,只有很少的错误警报。

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