›› 2012, Vol. 32 ›› Issue (1): 124-127.DOI: 10.3969/j.issn.1006-1355-2012.01.029
• 6.信号处理与故障诊断 • Previous Articles Next Articles
FU Rao,ZHANG Qun-yan,ZHAO Shu-yuan
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符娆,张群岩,赵述元
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Abstract: The rotor-stator rubbing signals of aeroengines in flight test are processed and analyzed. Firstly the original signal is denoised by wavelet threshold method so that the high-frequency noise is filtered and the saltatory information including important fault characteristics is reserved. Then the denoised signal is processed by continuous wavelet transform. The result from time-frequency analysis shows that it has a strong capability to track the rotor frequency in real-time. Furthermore, the energy of the frequency band is centralized and the fault features are obvious. So this method provides an effective approach for real-time fault monitoring of rotor-stator rubbing with the actual flight loads on.
Key words: vibration and wave, aeroengine, rub-impact, wavelet threshold denosing, wavelet analysis
摘要: 针对试飞中发动机转静子碰摩故障信号,首先应用小波阈值方法对原始信号进行降噪处理,由此滤除高频噪声干扰,同时可保留含有重要故障特征的突变信息;对降噪后信号进行连续小波变换,时频分析结果具有很好的实时跟踪转速频率能力,且频带清晰,故障特征明显,为今后真实飞行载荷下的实时故障监测提供一种有效途径。
关键词: 振动与波, 航空发动机, 碰摩, 小波阈值降噪, 小波分析
CLC Number:
V231.9
FU Rao;ZHANG Qun-yan;ZHAO Shu-yuan. Detection and Analysis of Aeroengine Rotor-stator Rubbing Trouble using Wavelet Analysis[J]. , 2012, 32(1): 124-127.
符娆;张群岩;赵述元. 航空发动机转静子碰摩故障信号用小波分析的方法检测和分析[J]. , 2012, 32(1): 124-127.
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URL: https://nvc.sjtu.edu.cn/EN/10.3969/j.issn.1006-1355-2012.01.029
https://nvc.sjtu.edu.cn/EN/Y2012/V32/I1/124