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A new performance evaluation scheme for jet engine vibration signal denoising

机译:喷气发动机振动信号去噪性能评估新方案

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摘要

Denoising of a cargo-plane jet engine compressor vibration signal is investigated in this article. Discrete wavelet transform and two families of Donoho-Johnston and parameter method thresholding, are applied to vibration signal. Eighty four combinations of wavelet thresholding and mother wavelet are evaluated. A new performance evaluation scheme for optimal selection of mother wavelet and thresholding method combination is proposed in this paper, which is make a trade off between four performance criteria of signal to noise ratio, percentage root mean square difference, Cross-correlation, and mean square error. Dmeyer mother wavelet (dmey) combined with Rigorous SURE thresholding has the maximum trade off value and was selected as the most appropriate combination for denoising of the signal. It was shown that inappropriate combination leads to data losing. Also higher performance of proposed trade off with respect to other criteria was proven graphically.
机译:本文研究了货机喷气发动机压缩机振动信号的去噪。离散小波变换和Donoho-Johnston的两个族和参数方法阈值被应用于振动信号。评估了小波阈值和母小波的八十四种组合。提出了一种新的母波小波选择和阈值结合的性能评估方案,在信噪比,均方根百分比差,互相关和均方根四个性能指标之间进行权衡。错误。结合严格SURE阈值处理的Dmeyer母波(dmey)具有最大的折衷值,并被选为最适合信号降噪的组合。结果表明,不适当的组合会导致数据丢失。还通过图形证明了相对于其他标准的建议折衷的更高性能。

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