1) stationary/non-stationary random vibration
平稳/非平稳随机振动
2) non-stationary random vibration
非平稳随机振动
1.
An efficient and accurate non-stationary random vibration algorithm for the com posite laminated structures attached with viscoelastic damping layer is proposed .
提出了对敷设黏弹性阻尼层的复合材料层合结构非平稳随机振动分析的高效精确算法。
2.
Predicting the time-varying auto-spectral density of a spacecraft in high-altitude orbits requires an accurate model for the non-stationary random vibration signals with densely spaced modal frequency.
针对高轨航天器非平稳随机振动信号模态频率密集,传统时变信号处理方法难以准确计算时变功率谱密度,从而影响地面对航天器操作决策的特点,提出了基于经验模式分解(EMD)的时变自回归(TVAR)多分量过程神经元网络(PNN)模型。
3.
A new method for a vertical non-stationary random vibration analysis of vehicle-bridge systems subjected to track irregularity excitations is proposed.
提出了考虑轨道高低不平顺时进行车桥耦合系统垂向非平稳随机振动分析的新方法。
3) nonstationary random vibration
非平稳随机振动
1.
Solution of Nonstationary Random Vibration of Linear Vehicle Systems with Variable Driving Speed by Mode Method;
线性车辆系统变速行驶时非平稳随机振动的模态解法
2.
Nonstationary random vibration of vehicle systems with uniform variable speed is discussed in this paper.
对车辆系统变速行驶所引起的非平稳随机振动进行了研究。
5) nonstationary random vibration signal
非平稳随机振动信号
1.
In view of the disadvantages of the traditional time-varying parameters modeling algorithm about nonstationary random vibration signal of a spacecraft with closed spaced modal frequency,a multicomponent process neural network(PNN) autoregressive model was proposed,which was based on the empirical mode decomposition(EMD).
针对航天器非平稳随机振动信号模态频率密集的特点,提出了基于经验模式分解EMD(Empirical Mode Decomposition)的多分量过程神经网络PNN(Process Neural Net-work)自回归模型。
6) vehicle nonstationary random vibration
车辆非平稳随机振动
补充资料：平稳随机过程的谱分析
平稳随机过程的谱分析
spectral analysis of a stationary stochastic process
平稳随机过程的谱分析〔spectraia旧卜515 of a sta6..ryst以如昭次P似ess;ene灯p叼‘Ru动an叭H3 eTa双皿oH即-“以c刃叹‘H袱npo”ecc0B]，时I’ed序列的谱分析(speetr越analysis of a tjme series) l)与平稳随机过程(stationary stochastic pro-cess)的谱分解相同(见随机函数的谱分解(spectraldecomPosition ofa介Lndom仙Iction)). 2)从一平稳随机过程的一个(或多个)实现的观测数据估计该过程的谱密度值的统计方法(见汇lj一【5 D.亦见随机过程论中的统计问题(statistical pro-blems in the theory of stochastic proeesses):周期图(perlodog旧In);谱密度估计盘(spectral density，esti-Inator ofthe);极大墒谱估计量(宜坦戈山山刀n记ntroPyspectral estunator);参数谱估计量(sPeetral est运u-tor，Paran祖tric).
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条