| 边杰1，2，3，郑锦妮1，陈亚农1，2，3，徐友良1，.弹性支承振动应力信号降噪方法及其性能对比[J].航空发动机,2020,46(5):71-77 |
| 弹性支承振动应力信号降噪方法及其性能对比 |
| Elastic Support Vibration Stress Signal De-noising Methods and Performance Contrast |
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| DOI： |
| 中文关键词: 信号降噪 信号分解 弹性支承振动应力 样本熵 奇异值分解 峭度系数 航空发动机 |
| 英文关键词:signal de-noising signal decomposition vibration stress of elastic support sample entropy singular value decomposition kurtosis coefficient aeroengine |
| 基金项目:航空科学基金（2014ZD08007）、中国航空发动机集团科技创新平台项目（CXPT-2018-027）资助 |
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| 中文摘要: |
| 针对弹性支承振动应力信号中存在的低频宽带噪声及宽频带的背景噪声干扰问题，提出基于EMD、CEEMDAN、LMD、ITD 和
VMD 5 种信号分解方法的信号降噪方法。利用5 种方法对原始信号进行分解，得到1 组初始模态分量，并结合归一化样本熵、SVD 和
峭度系数，有效地剔除噪声成分。弹性支承振动应力信号的降噪表明：在5 种信号降噪方法中，采用VMD-SampEn-SVD 方法降噪后
的弹性支承振动应力信号的信噪比为8.11dB，相关系数为0.92，均方误差为0.43，计算时间为18.04 s，其综合降噪效果最佳。 |
| 英文摘要: |
| In view of the problems of noise disturbance of low-frequency broadband noise and broadband background noise in
vibration stress signal of elastic support，the signal de-noising methods were proposed based on signal decomposition method such as EMD，
CEEMDAN，LMD，ITD and VMD. Five methods were used to decompose the original signal，and a group of initial modal components were
obtained. Combined with normalized sample entropy，SVD and kurtosis coefficient，the noise component was effectively eliminated. The
results show that the signal-noise-ratio of the vibration stress signal of elastic support is 8.11 dB after de-noising by VMD-SampEn-SVD
method，the correlation coefficient is 0.92，the mean square error is 0.43，and the calculation time is 18.04 s. The comprehensive de-nosing
effect is the best. |
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