采用了模态变换和精细积分法，解决了考虑多阶模态的阻尼矩阵给求解所带来的困难。
To overcome the difficulties in the solving process brought by the multi-modal damping model, the modal transformation strategy and the precise time-integration method are applied.
应用这组线性无关的模态集构成坐标变换矩阵，推导出广义坐标下的部件动力学方程。
Using a coordinate transformation matrix, which is formed by these linearly independent mode set, the component equations of motion in generalized coordinates are derived.
经验模态分解方法中，有两种端点效应：在样条插值中以及在希尔伯特变换中。
There are two types of end effects in the empirical mode decomposition method: in the spline interpolation and in the Hilbert transform.
提出了一种结合经验模态分解（EMD）和自适应短时傅里叶变换（STFT）的铁路货车滚动轴承故障诊断方法。
In this paper, a freight car rolling element bearings fault diagnosis method based on Empirical Mode Decomposition(EMD) and adaptive short_time Fourier transform(STFT) is proposed.
用矩阵理论求出几种形式的参数矩阵变换时的模态矩阵，并讨论了功率不变原则下的变换。
Using the matrix theory, we derived the modal matrices of some parameter matrices in transformation, and discussed the transformation with principle of power invariance also.
用模态坐标变换法推导了用模态参数描述的车辆垂向平稳性指标计算表达式。
An expression of the vertical ride comfort index of rail vehicles was derived by modal coordinate transform and described by modal parameters.
基于小波变换和模态声发射理论，通过模态声发射试验的方法确定了管道中导波传播的频散特性。
Based on the wavelet transformation and the theory of modal acoustic emission, the dispersion of guided wave propagated in thin plate was investigated by acoustic emission experiment.
本文介绍了所提出的新型变换器实现功率因数校正的基本原理，对其工作模态进行了详细的分析。
The paper introduces the basic principles of the converter achieving high power factor and detailed analyses about the operation modes of converter are given.
对工作模态进行分析，给出了变换器在各个工作模态的等效电路以及谐振槽电压和电流的时域表达式。
The equivalent circuits and the expression of the current and the voltage of the resonant thank are shown with time-domain analysis.
通过三自由度模型模态参数的辨识，表明连续小波变换对于大型结构的模态参数辨识准确度高，具有现实意义。
The identification results of the 3-dof model parameters show that the continuous wavelet transform has high accuracy for the modal parameter identification of the large-scale structure.
通过三自由度模型模态参数的辨识，表明连续小波变换对于大型结构的模态参数辨识准确度高，具有现实意义。
The identification results of the 3-dof model parameters show that the continuous wavelet transform has high accuracy for the modal parameter identification of the large-scale structure.
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