A denoising method for aeroengine gas path electrostatic signal of low signal-to-noise ratio based on IMFs optimized reconstruction and wavelet threshold
Chaoying Yan, Yan Liu, Feng Lu · 2025
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Description
Chaoying Yan, Yan Liu and Feng Lu tackle noise in signals used to watch aeroengine gas paths for early faults. Raw electrostatic signals are weak and mixed with noise, so cleaning them matters before fault facts can be read. Their method joins several known signal tools into one process.
They screen intrinsic mode functions with rules they set out, rebuild the signal from the best parts, then apply wavelet thresholding. Tests used both fake signals and real signals from a micro-turbojet engine. Next to other methods, theirs gave better signal-to-noise ratio and lower error, and it kept useful abnormal particle signals while cutting random noise and power interference.
Catalog record
| CREATOR | Chaoying Yan, Yan Liu, Feng Lu |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |