基于改进广义解调的直升机传动系统速度追踪
Speed Tacking of Helicopter Transmission System Based on Improved Generalized Demodulation
汤勇 1吴太欢 2唐振寰 1米栋 1张万阳 2罗华耿2
作者信息
- 1. 中国航发湖南动力机械研究所 株洲,412002
- 2. 厦门大学航空航天学院 厦门,361000
- 折叠
摘要
为了从复杂的非平振动信号中追踪直升机的传动系统轴转速信息,开发了一种改进的广义解调变换方法.首先,利用广义解调变换对目标信号进行移频,移频后目标分量将由非平稳转换为近似平稳;其次,基于频谱细化的短时傅里叶变换(short time Fourier transform,简称STFT)方法计算得到解调信号时频图;然后,估计信号的瞬时频率,利用迭代计算提升频率估计精度;最后,基于估计的转速信息开展同步分析,提高传动系统齿轮故障振动的信噪比.仿真分析和实测分析结果表明:所提出方法估计的轴速度信息具有较高的精度,满足基于速度信息开展同步分析的需求;利用估计的速度开展同步分析可有效提高信噪比,增强阶次谱上的故障特征,便于准确提取齿轮故障特征.
Abstract
In order to track the shaft speed of the helicopter's transmission system from complex non-flat vibra-tion signals,this paper develops an improved generalized demodulation transformation method.Firstly,the tar-get signal is shifted frequency using generalized demodulation transformation,and the target component will be converted from non-stationary to approximately stationary after frequency shift.Then,the short time Fourier transform(STFT)method based on spectrum refinement calculates the time-frequency map of the demodulated signal,estimating the instantaneous frequency of the signal and improving the accuracy of frequency estimation through iterative calculation.Finally,based on the estimated rotational speed information,synchronous analysis is carried out to improve the signal-to-noise ratio of gear fault vibration in the transmission system.The analysis results of simulation signals and measured vibration signals of the helicopter transmission system indicate that the method proposed in this paper has high accuracy in estimating shaft speed information,meeting the needs of synchronous analysis based on speed information.Using the estimated speed for synchronous analysis can effec-tively improve signal-to-noise ratio and enhance fault features on the order spectrum for accurately extracting gear fault features.
关键词
广义解调变换/瞬时频率估计/直升机传动系统/同步分析/故障诊断Key words
generalized demodulation transforms/instantaneous frequency extraction/helicopter transmission system/synchronous analysis/fault detection引用本文复制引用
出版年
2024