搜索资源列表
Read_f06
- 在Nastran的f06文件里读取模态数据(read the normal model data from f06 in Nastran)
esmd4j-1.0-free (2)
- 用于极点对称模态分解求解,对输入信号进行模态分解并求出相应图形和数据(Used for pole-symmetric modal decomposition solution, modal decomposition of input signals and determination of corresponding graphics and data)
ADAMS2013计算悬置解耦率及模态1
- ADAMS 悬置模态解耦示例 ,初步的设置及求解过程。(An example of ADAMS mount mode decoupling)
motaifenxi_1
- 用于Matlab计算悬臂梁模态分析,计算固有频率和振型(Modal analysis of cantilever beam)
wikipedia_info
- wikipedia跨模态(文本图像)数据集,可用于图像标注、跨媒体检索等领域。共十类,已标注。文本特征是10维LDA特征,图像特征是128维SIFT特征(Wikipedia datasets for cross-media retrieval, image annotation etc.)
DMD
- 快照数据的动态模态分解,获得基模态和对应的特征值,包括频率和增长率,以及数据后处理。(Dynamic modal decomposition of snapshot data to obtain basic modes and corresponding eigenvalues, including frequency and growth rate, and data post-processing.)
宋-3-VMD数据
- 对二维数据进行变分模态分解,可用于地震数据去噪等(Variational mode decomposition of two-dimensional data can be used for seismic data denoising, etc.)
EMD
- EMD经验模态分解算法仿真,内部包含函数及泄露信号及模拟信号的仿真(Empirical Mode DecompositionEmulation of empirical mode decomposition algorithm, simulation of internal containing function, leakage signal and analog signal)
变分模态分解
- 变分模态分解,比经验模态分解更有优势对信号的处理,可以使用
ERA-master
- 基于ERA的模态识别算法,能够根据试验数据识别系统模态(Modal identification algorithm based on era can identify system modal according to test data)
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.)
滑模变结构控制
- 滑模变结构控制本质上是一类特殊的非线性控制,其非线性表现为控制的不连续性,这种控制策略与其它控制的不同之处在于系统的“结构”并不固定,而是可以在动态过程中根据系统当前的状态(如偏差及其各阶导数等)有目的地不断变化,迫使系统按照预定“滑动模态”的状态轨迹运动。由于滑动模态可以进行设计且与对象参数及扰动无关,这就使得变结构控制具有快速响应、对参数变化及扰动不灵敏、无需系统在线辩识, 物理实现简单等优点。(In essence, sliding mode variable structure cont
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.)
经验模态分解
- matlab 经验模态分解 信号分解与重构