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VIBRATION PROCESSING TECHNIQUES FOR FAULT DETECTION IN GEARBOXES

机译:齿轮箱故障检测的振动处理技术

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Vibration analysis is a very important tool in condition monitoring of operating machines. Many signal processing methods have been developed to extract information about incipient faults from externally measured vibration signals. The article presents the laboratory examinations of some faults in spur and helical gears. In case of spur gears two types of progressing local faults of cracked and chipped gear tooth were simulated and the smoothed pseudo Wigner-Ville distribution was used to demonstrate fault advancement via residual vibration signal analysis. Observing changes in the features of the WV distribution in the contour plots and changes of Kurtosis value monitored the progression of a fault. In case of helical gears some signal changes of transverse vibration velocity of shafts during the process of pitting growth in the tooth working surface have been investigated. Some new indices of pitting wear have been suggested and compared with other non-dimensional discriminants.
机译:振动分析是操作机器状态监测中非常重要的工具。已经开发了许多信号处理方法来从外部测量的振动信号中提取有关早期故障的信息。本文介绍了对正齿轮和斜齿轮某些故障的实验室检查。在正齿轮的情况下,模拟了两种类型的行进的裂纹和缺齿的局部故障,并使用平滑的伪Wigner-Ville分布通过残余振动信号分析来证明故障的发展。在等高线图中观察WV分布特征的变化以及峰度值的变化可监视故障的进展。对于斜齿轮,已经研究了在齿工作面上的点蚀生长过程中轴的横向振动速度的一些信号变化。已经提出了一些点蚀磨损的新指标,并将其与其他无量纲的判别式进行了比较。

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