| 基于自适应滑动均值和小波阈值的叶尖间隙信号降噪方法 |
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| 引用本文： | 邵兴臣,段发阶,蒋佳佳,牛广越,刘志博. 基于自适应滑动均值和小波阈值的叶尖间隙信号降噪方法[J]. 传感技术学报, 2021, 34(1): 34-40. DOI: 10.3969/j.issn.1004-1699.2021.01.006 |
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| 作者姓名： | 邵兴臣 段发阶 蒋佳佳 牛广越 刘志博 |
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| 作者单位： | 天津大学精密仪器与光电子工程学院,天津300072 |
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| 基金项目： | 国家科技重大专项项目;国家自然科学基金项目;国家重点研发计划项目 |
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| 摘 要： | 动叶片与发动机机匣之间的叶尖间隙参数是反映航空发动机工作性能和运行安全的关键状态参数之一.提高叶尖间隙信号信噪比是实现高精度叶尖间隙测量的关键,为此提出基于自适应滑动均值和小波阈值的混合叶尖间隙信号实时降噪方法.首先根据叶片转速等信息,估算叶尖间隙信号带宽大小,然后通过动态改变滑动均值滤波的滑动点数来实现自适应低通滤波...
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| 关 键 词： | 叶尖间隙测量 自适应滑动均值 小波阈值 信号降噪 |
Denoising Method of Blade Tip Clearance Signal Based on Adaptive Moving Average and Wavelet Threshold |
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| SHAO Xingchen,DUAN Fajie,JIANG Jiajia,NIU Guangyue,LIU Zhibo. Denoising Method of Blade Tip Clearance Signal Based on Adaptive Moving Average and Wavelet Threshold[J]. Journal of Transduction Technology, 2021, 34(1): 34-40. DOI: 10.3969/j.issn.1004-1699.2021.01.006 |
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| Authors: | SHAO Xingchen DUAN Fajie JIANG Jiajia NIU Guangyue LIU Zhibo |
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| Affiliation: | (State Key Lab of Precision Measuring Technology and Instruments,Tianjin University,Tianjin 300072,China) |
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| Abstract: | Blade tip clearance(BTC)between rotor blade and engine casing is one of the key state parameters to reflect performance and safety of aero-engine.Improving SNR of BTC signal is the key factor to realize high BTC measurement accuracy.A real-time denoising method based on adaptive moving average and wavelet threshold is proposed.After the signal bandwidth is estimated according to blade rotate speed and other parameters,the adaptive low-pass filter is realized by dynamically changing the point number of moving average.With the strong time-frequency analysis ability,wavelet threshold further reduces noise jamming.The db5 wavelet basis was selected to carry out 6-layer decomposition for BTC signal.Simulation results show that the method is superior to the existing FIR and fixed point MAF method.At 1000 rpm-4000 rpm,the maximum BTC measurement error of the proposed method is 16μm,which effectively improves the BTC measurement accuracy. |
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| Keywords: | blade tip clearance measurement adaptive moving average wavelet threshold signal denoising |
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