基于小波包变换和计算机仿真的货油泵轴承自动诊断

I. Barsukov
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引用次数: 0

摘要

本文介绍了小波方法的研究、理论基础、材料和诊断方法。在货油泵的峰值负荷、瞬态模式或频繁运行时,泵部件特别是轴承的退化会增加。这种运行模式(特别是前两种)增加了滚动轴承的机械振动,这可能导致其过早破坏。在泵启动期间采集读数,并按平均值过滤,将其转换成小波包。用滤波序列估计曲线的最大位移与累计运行时间之间的关系。与振动标准相关的评估方程设定了在退化状态下花费的时间,并模拟了设备磨损的过程,考虑了曲线上最大位移的顺序
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AUTOMATIC DIAGNOSTICS OF CARGO PUMP BEARINGS USING WAVELET PACKET CONVERSION AND COMPUTER SIMULATION
The article presents research, theoretical foundations, materials and diagnostic methods using the wavelet method. At peak loads, transient modes or frequent operation o f the cargo pump, the degradation o f pump components and especially bearings increases. Such modes (especially the first two) o f operation increase the mechanical vibration o f rolling bearings, which can lead to their premature destruction. The readings are taken during the pump start and filtered by the average value, converting it into a wavelet packet. Filtered series are used to estimate the relationship between the maximum displacement o f the curve and accumulated operating time. The evaluation equation associated with vibration standards sets the time spent in a state o f degradation and simulates the process o f equipment wear taking into account the sequence o f maximum displacements o f the curves
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