机电工程技术2025，Vol.54Issue(17)：127-134,157,9.DOI:10.3969/j.issn.1009-9492.2025.00076
融合参数优化VMD和改进小波阈值的齿轮箱故障信号降噪方法研究
Research on Gearbox Vibration Signal Denoising Method Integrating Parameter-optimized VMD and Improved Wavelet Threshold
张海涛 1凌海风 1李波 1葛靖 1康巍 1张烨2
作者信息
- 1. 陆军工程大学,南京 210007
- 2. 69231部队,新疆 克拉玛依 833600
- 折叠
摘要
Abstract
To address the difficulty of fault feature extraction in gearbox vibration signals under complex noise interference,a denoising method integrating parameter-optimized variational mode decomposition(VMD)with an improved wavelet threshold is proposed.The rime optimization algorithm(RIME)is employed to adaptively optimize critical VMD parameters,enabling precise separation of signal frequency bands.A nonlinear mapping-based improved wavelet threshold function is introduced,coupled with Pearson correlation coefficients to identify noise-dominant modal components for targeted denoising while preserving critical fault signatures.Experiments are conducted using vibration signals from an HFDZ-330 rotating machinery fault testbed and Gaussian-simulated signals.Results demonstrate significant improvements in signal-to-noise ratio and mean square error compared to conventional VMD,empirical mode decomposition(EMD),and wavelet threshold methods.High-frequency noise floor in the 6～12 kHz band is notably suppressed,with distinct identification of gear pitting characteristic frequency((1500±25)Hz)and bearing inner race defect modulation sidebands((750±82)Hz),validating the algorithm's efficacy and applicability.关键词
齿轮箱/变分模态分解/霜冰优化算法/改进小波阈值/信号降噪Key words
gearbox/variational mode decomposition/rime optimization algorithm/improved wavelet threshold/signal denoising分类
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张海涛,凌海风,李波,葛靖,康巍,张烨..融合参数优化VMD和改进小波阈值的齿轮箱故障信号降噪方法研究[J].机电工程技术,2025,54(17):127-134,157,9.
