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A denoising method for aeroengine gas path electrostatic signal of low signal-to-noise ratio based on IMFs optimized reconstruction and wavelet threshold

Abstract Electrostatic monitoring technology for aero-engines has demonstrated considerable capability in early fault warning. However, raw electrostatic signals often contain significant noise and exhibit low signal-to-noise ratios, making denoising essential to improve the accuracy of fault-relate...

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Главные авторы: Chaoying Yan, Yan Liu, Feng Lu
Формат: Artigo
Язык:Inglês
Опубликовано: Nature Portfolio 2025-12-01
Серии:Scientific Reports
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Online-ссылка:https://doi.org/10.1038/s41598-025-32599-2
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