搜索资源列表
emd经验模态分解
- emd经验模态分解,可用于matlab经验模态分解工具中
VMD
- 可以实现滚动轴承的故障采集处理,变分模态分解法很强大(Rolling bearing fault acquisition and processing can be realized, and the variational modal decomposition method is very powerful)
CONDUCTOR
- 可以在ANSYS中运行的命令流,能够用于导线的模态分析(The command stream that can run in ANSYS)
VMD.tar
- 将一个信号分解为几个模态分量,并且不会产生模态混叠现象,对信号的分解很清晰,大量应用于故障诊断。(A signal is decomposed into several modal components, and it does not cause modal aliasing. The decomposition of signals is very clear and widely used in fault diagnosis.)
EEMD
- 对原来的EMD进行了改进,使得对信号的分解更为完美,极大的抑制了端点效应和模态混叠现象。(The improvement of the original EMD makes the signal decomposition more perfect and greatly suppresses the endpoint effect and modal aliasing.)
package_emd
- 基于matlab的EMD(经验模态分解)(It gives some files on EMD by the team of G Rilling,and it show the algorithm on EMD in detail.)
motaifenxi
- 本程序可用于对时间序列数据进行模态分析,亲测可用(This procedure can be used for modal analysis of time series data, pro test available)
zhendongmotai
- 对于四边简支的矩形板,可以计算她的振动模态。(For a rectangular plate with four sides simply supported, the vibration mode can be calculated.)
EMD工具箱
- 经验模态分解方法是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。(The empirical modal decomposition method is a kind of signal analysis method proposed by Dr. Huang E of NASA, which decomposes according to the time scale characteristic of the data
modal_identification
- 模态参数辨识!单点激励响应,通过模态实验获取模态参数,模态质量,刚度,阻尼(modal parameter identification)
8试验模态参数的频域识别方法
- 8试验模态参数的频域识别方法-<matlab在振动信号处理中的应用>王济一书对应代码(8 frequency domain identification method of experimental modal parameters -<matlab application in vibration signal)
PlateVib
- 四边固支板模态求解,包含两个文件,用matlab打开(Four sided clamped plate modal solution, including two documents, open with MATLAB)
DlgDll
- 对话框调用动态链接库(DLL)中的对话框资源,含模态对话框和非模态对话框示例,调用的对话框集成了曲线的绘制,可类似于绘图插件,应用于数值计算中曲线的实时动态显示;稍作修改还可应用于程序中循环变量(2D&3D)的实时动态显示。程序参考了网络两个作者的相关代码并集成,在此感谢!(The dialog box call dynamic link library (DLL) in the dialog resources, including modal dialog and non modal
VMD
- 变分模态分解程序,VMD为主程序(理论信号长度为1s),可在VMD_test中修改需要的信号(Variational modal decomposition procedure)
基于神经网络和模态分析的桥梁损伤识别
- 基于模态分析理论和神金网络的损伤识别算法,包含架构和实际的应用程序说明。(Damage identification program)
桥梁参数识别与承载能力评估
- 基于模态分析的损伤识别理论及应用,涵盖内容全面,包含理论和应用(System identification)
健康监测与工作模态分析的理论和应用及系统实现1
- 桥梁健康监测与工作模态分析的理论和应用及系统实现.(mode analysis for structural health monitoring, the theory, application and examples)
rdt
- 实现随机振动过程中的结构衰减信号提取,运行模态分析(The structure attenuation signal extraction and modal analysis are realized during random vibration)
7941935mat_emd
- emd 经验模态分解过程,及其相关应用,以及具体过程示例(emd Empirical mode decomposition process, and its related applications, as well as specific process examples)
emd
- 该方法的关键是经验模式分解,它能使复杂信号分解为有限个本征模函数(Intrinsic Mode Function,简称IMF),所分解出来的各IMF分量包含了原信号的不同时间尺度的局部特征信号。经验模态分解法能使非平稳数据进行平稳化处理,然后进行希尔伯特变换获得时频谱图,得到有物理意义的频率。与短时傅立叶变换、小波分解等方法相比,这种方法是直观的、直接的、后验的和自适应的,因为基函数是由数据本身所分解得到。由于分解是基于信号序列时间尺度的局部特性,因此具有自适应性。(The key of thi