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幅值谱的英文

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"幅值谱"怎么读用"幅值谱"造句

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  • amplitude spectrum

例句与用法

  • Signal amplitude correction
    信号幅值谱校正
  • Amplitude correction approach using average of several points in discrete spectrum for analyzing the dynamic signal of rotating machinery with varying speed
    变速机械弱时变信号幅值谱校正的多点平均法
  • Additionally , features of fourier amplitude spectrum and variation of duration of ground motions with depth in treasure island were discussed
    最后,讨论了土层基岩场地上台阵地震动的傅立叶幅值谱和地震动持时沿深度变化的特点。
  • The algorithm embeds the watermarking signal modulated on some fix positions that keep some distance from each other . some decimals are added to the image - signed and different parameters are mbedded for different images . the experiments show that it is transparent , robust , accurate and cost - efficient
    针对这一问题,本算法基于fourier变换,将原始图像进行分类,对不同的图像嵌入强度不同的水印,将水印信息嵌入频域幅值谱中不同的位置。
  • By utilizing the knowledge of digital circuit and simulation circuit , the system designs the pretreatment dealing circuit of the myoelectrical signal , which has the feature of big input impedance well suppress of public module and high gains . then the signal is gathered with " zhentong " data gathering after dealing with , and the software of signal processing is explored before the myoelectric signal is analyzed . after picking up eigenvalue , it is proved that the result is unanimous basically with the data of the relevant materials ; the other is to control artificial hand by the eigenvalue of the myoelectric signa l and at last the system gets very good control results
    即利用数字电路和模拟电路等相关知识,设计了具有输入阻抗大、共模抑制好、增益高等特点的肌电信号前置处理电路,利用“振通”数据采集仪对处理后的信号进行采集,并利用快速傅立叶变换的相关知识编写了信号处理程序,对肌电信号进行了波形分析、幅值谱分析和功率谱分析,提取了信号特征值,与相关资料的数据相比,基本一致;二是利用肌电信号的特征值对肌电假手进行控制。
  • Abstract : in this paper , we established the artificial neural network of the fault diagnosis of rotary mechanism using simulated annealing algorithm . we trained the neural network with seven kinds of fault sample of rotary mechanism and apply the neural network model to identify the samples to be identified . the result indicates that the simulated annealing algorithm is efficient in the fault diagnosis of rotary mechanism
    文摘:用模拟退火算法建立了旋转机械故障诊断的人工神经网络模型,以幅值谱中七个频段上的幅值为网络的输入模式,对旋转机械常见的几种故障进行分类训练,并应用于待识别故障样本的识别计算,证明该方法在旋转机械故障诊断中是有效的。
  • Based on the theory of the discrete hidden markov models ( dhmm ) , the scalar quantization method of vibration spectrum vector of rotating machine is proposed , and then the fault diagnosis method based on dhmm is designed . the experiment of run - up process of rotor machine is made to verify the effect of the new faults diagnosis method
    第三章:根据离散hmm ( dhmm )的基本理论,提出了旋转机械振动幅值谱矢量的标量量化方法,并在此基础上提出了基于dhmm的故障诊断方法;利用转子升速过程的振动模式验证了dhmm故障诊断方法的有效性。
  • It is constructed that radial impact and rubbing dynamics differential equations of the rotor system having the nonlinear rigidity on the unsteady and non - linear oil film . the bifurcation and chaos behavior of impact and rubbing fault rotor system caused by the parameters of nonlinear rigidity , rotor rotating speed , eccentric mass is analyzed , in the numerical value analysis method . the bifurcation diagrams , maximum lyapunov exponent diagrams , poincar maps , phase plane portraits , trajectories of journal center , time - history curve , amplitude spectra diagrams of the rotor motion are used
    ( 2 )建立了具有非线性刚度的转子系统在非稳态非线性油膜力作用下的径向碰摩动力学微分方程,并应用含高阶余项的非线性动力方程的线性化数值法研究了此类系统响应的复杂动力学行为,利用转子响应的分岔图、最大lyapunov指数曲线、 poincar截面映射、时域波形、相轨线、轴心轨迹、幅值谱等图形分析了系统响应的周期运动、拟周期运动、倍周期分岔、混沌等运动形式的转化与演变过程,重点研究了非线性刚度、转子转速、偏心质量等系统参数对碰摩故障转子系统的分岔和混沌行为的影响。
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