搜索资源列表
cluster_VMDaFCM_casedat
- 为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM
qqqqq
- 为了直接对内燃机振动谱图像进行诊断识别，提出一种基于改进变分模态分解（ＶＭＤ）、伪魏格纳时频分 析（ＰＷＶＤ）与局部非负矩阵分解（ＬＮＭＦ）的内燃机振动谱图像识别诊断方法-In order to direct the internal combustion engine vibration spectral image for diagnosis recognition is proposed based on the improved variational mode decomposit
VMD_2D
- 二维变分模态分解可于图象处理等，最新的自适应分解方法-2D Variational Mode Decomposition，WHICH CAN BE USED FOR IMAGE
emdPvmd
- 经验模态分解程序，变分模态分解 程序。能够将多分量信号分解为若干个单分量信号。-Empirical Mode Decomposition Procedures, Variational Mode Decomposition and Decomposition Procedures. The multi-component signal can be decomposed into a number of single-component signals.
vmd
- 针对实际中工况复杂难以提取齿轮故障特征频率的问题，提出一种变分模态分解-(variational mode decomposition, VMD)
VMD工具箱
- VMD工具箱，变分模态分解，可以用来进行时频分析，比经验模态分解（EMD）更加精准
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)
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)
VMD程序
- 变分模态分解的matlab程序，便于分析(Variational modal decomposition of the matlab program, easy to analyze)
VMD
- 用matlab实现变分模态分解算法，有效分解信号(variational model decomposition)
VDM
- 利用优化的方式选取变分模态分解的参数，非常实用，讲解很详细(The optimization method is used to select the parameters of the variational mode decomposition, which is very practical and detailed)
变分模态分解
- 关于VMD的一篇博士论文，其中比较了EMD和LMD以及VMD的分解效果，证明VMD分解有较好的效果。(A doctoral thesis on VMD, which compares the decomposition effects of EMD, LMD and VMD, proves that VMD decomposition has a good effect.)
pyVMD_any
- 变分模态分解的python版本，个人根据MATLAB版本译制而成(Python version of variational mode decomposition)
VMD
- 这是关于vmd变分模态分解的matlab代码，主要应用于信号的分解，数据的处理等。(This is the matlab code for VMD variational mode decomposition, which is mainly applied to signal decomposition, data processing and so on.)
vmd
- 变分模态分解,用于分解各种信号，可用来故障诊断，特征提取。(Variational mode decomposition, used to decompose various signals, can be used for fault diagnosis and feature extraction.)
VMD
- 变分模态分解的源程序 ，主要用于信号处理(Source program for variational mode decomposition, mainly used for signal processing)
信号预处理程序
- 信号预处理的几个程序，包括快速傅里叶变换以及变分模态分解和经验模态分解
VMDtest
- 改进的变分模态分解算法，有效提取振动信号中故障频率。(The improved variational mode decomposition algorithm can effectively extract the fault frequency in vibration signals.)
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.)
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.)