基于时频滤波的汽轮机半速涡动故障成分提取

滕伟;安宏文;马志勇;柳亦兵

振动与冲击 ›› 2015, Vol. 34 ›› Issue (3) : 178-182.

PDF(1519 KB)
PDF(1519 KB)
振动与冲击 ›› 2015, Vol. 34 ›› Issue (3) : 178-182.
论文

基于时频滤波的汽轮机半速涡动故障成分提取

  • 滕伟,安宏文,马志勇,柳亦兵
作者信息 +

Semi-speed Oil Whirl Fault Component Extraction of Steam Turbine Based on Time-frequency filtering

  • TENG Wei,AN Hong-wen,MA Zhi-yong,LIU Yi-bing
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摘要

汽轮机油膜涡动是滑动轴承失稳而产生的自激振动,其振动频率主要表征为转子转频的一半或略小。当油膜涡动频率等于转子一阶临界转速时会导致振动加剧,进而对汽轮机的稳定运行产生严重影响。Gabor变换是一种可逆的联合时频分布方法,其逆变换具有时域信号重构的能力。本文基于Gabor变换对850 MW汽轮机振动信号进行时频分析,显示反映轴系不稳定的半速涡动成分,进一步对该成分进行时频带通滤波,并基于Gabor逆变换予以时间重构,获取半速涡动成分的峰峰值量化指标,为汽轮机轴承油膜涡动故障提供诊断依据。

Abstract

Oil whirl of steam turbine is a self-excited vibration, which results from instability of sliding bearing. The vibration frequency of oil whirl is denoted by half of the rotational frequency of rotor shaft or less. Once the frequency of oil whirl is equal to the first critical rotational frequency of rotor shaft, the vibration of steam turbine is intensified and the stability of steam turbine can be destroyed. Gabor transform is a reversible joint time-frequency distribution method, inverse transform of which has the ability of time reconstruction. In this paper, the vibration signals of 850 MW steam turbine are analyzed based on Gabor transform, and the semi-speed oil whirl component representing instability is detected, then the semi-speed component is separated using band-pass filter in time-frequency domain and reconstructed using inverse Gabor transform, at last a peak-to-peak quantization index is calculated to judge the level of oil whirl. The presented method can provide evidence for oil whirl fault diagnosis of steam turbine.


关键词

半速涡动 / Gabor变换 / 时频滤波 / 故障成分提取

Key words

semi-speed oil whirl / Gabor transform / time-frequency filtering / fault component extraction

引用本文

导出引用
滕伟;安宏文;马志勇;柳亦兵. 基于时频滤波的汽轮机半速涡动故障成分提取[J]. 振动与冲击, 2015, 34(3): 178-182
TENG Wei;AN Hong-wen;MA Zhi-yong;LIU Yi-bing. Semi-speed Oil Whirl Fault Component Extraction of Steam Turbine Based on Time-frequency filtering[J]. Journal of Vibration and Shock, 2015, 34(3): 178-182

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