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本程序用WTL编写
- 本程序用WTL编写，运用了HOOK，模态对话框转为非模态（标准FileDialog)，窗体分隔-the procedures used WTL preparation, use of HOOK, Modal Dialog converted to non-modal (standard FileDialog), Form segregation
et
- 该软件控制的非模态窗体在AUTOCAD程序中当靠近边缘时自动收缩，节省了视图空间-software control of the non-modal windows in AUTOCAD proceedings when, near contraction automatically, saving space View
非模态对话框
- 本程序详细说明了非摸态对话框的创建及使用,并附有说明文挡-the procedures detailed descr iption of non-touch states of the dialog creation and use of a descr iptive text block
经验模态
- 这是一个经验模式分解的程序，用来分析本征模
WenDuMoTaiDieJiaFa
- 先求解一维瞬态热传导有限元方程前若干阶特征值和特征向量，再利用模态叠加法求解瞬时温度变化(Firstly, the eigenvalues and eigenvectors of the finite element equations of one-dimensional transient heat conduction are solved, and then the modal superposition method is used to solve the transient tem
旋转机械振动分析与工程应用
- 根据文中公式，可以复现预应力模态计算，一本很好的书(model analysis matlab)
pso-vmd
- 提供 基于粒子群算法优化的变分模态分解算法，适应度函数选择的是模糊熵(This paper presents a variational mode decomposition algorithm based on particle swarm optimization, and the selection of fitness function is fuzzy entropy)
EMD-master
- 本资料是经验模态分析（EMD）工具箱以及emd和希尔伯特黄变换的ppt。(This material is a powerpoint presentation of the empirical modal analysis (EMD) toolkit and the EMD and Hilbert yellow transformations.)
Modalres_nolinar_singlespan
- 梁单元分析，采用matlab编程，采用三维梁单元和模态叠加法实现振动分析(Beam element analysis, using MATLAB programming, using three-dimensional beam element and mode superposition method to realize vibration analysis)
miillingSLD
- 输入各模态参数，即可获得铣削稳定性叶瓣图（SLD）(By inputting the modal parameters, andthe milling stability lobe diagram can be obtained.)
【EMD重构】
- 对经验模态分解后的各分量IMF进行重构代码，函数可直接调用。(After the empirical mode decomposition, IMF reconstructs the code, and the function can be called directly.)
变分模态方法
- 变分模态分解方法能够使一个多频带的故障信号，分解出具有单个频带的子信号，然后使用共振解调方法可实现故障信号的诊断。(VMD method can decompose a multi band fault signal into a single band sub signal, and then use resonance demodulation method to realize fault signal diagnosis.)
经验模态分解及其改进
- matlab的EMD,EEMD,CEEMD和VMD四种模态分解方式(There are four mode decompositions including EMD, EEMD, CEEMD, and VMD.)
蛙跳算法
- 蛙跳算法，基于蛙跳算法实现优化变分模态分解的K和a.(Frog jump algorithm, based on the frog jump algorithm to achieve optimal variational mode decomposition K and A.)
Cantilever_response
- 使用模态叠加法求解在基础激励下的悬臂梁端部的挠度(Use the modal superposition method to solve the deflection of the cantilever beam end under fundamental excitation)
NewMyModel
- 两级行星齿轮传动的微分方程，以扭振模态计算(The differential equation of two-stage planetary gear transmission is calculated by torsional vibration mode)
VMD
- VMD（Variational mode decomposition）是一种自适应、完全非递归的模态变分和信号处理的方法。该技术具有可以确定模态分解个数的优点，其自适应性表现在根据实际情况确定所给序列的模态分解个数，随后的搜索和求解过程中可以自适应地匹配每种模态的最佳中心频率和有限带宽，并且可以实现固有模态分量（IMF）的有效分离、信号的频域划分、进而得到给定信号的有效分解成分，最终获得变分问题的最优解。(VMD (variable mode decomposition) is an adapt
iceemdan.m
- 信号iceemdan模态分解，包含测试信号，简单易实现，需要自己安装emd工具箱((It can be used for signal EMD, EEMD, VMD decomposition. Because the algorithm adds its own annotations, it's easy to understand))
模态参数识别
- 可从随机激励下结构的响应信号中提取出结构模态参数
NExT模态参数辨识法
- NExT模态参数辨识法，，用来实现振荡信号的分析与提取，程序作为一个参考，基本能够使用