搜索资源列表
Least-square-ident
- 最小二乘法模态参数识别（复模态—频响函数实虚部）-Least square method modal parameter identification
mdof_modal_arbit_force_newmark
- 频域的模态参数识别方法之一，可以对振动信号进行分析处理，得出结构的固有频率，阻尼比，振型系数，方法很好，程序完整-One of modal parameter identification method in the frequency domain, can the vibration signal analysis and processing, obtain the natural frequencies, damping ratio, mode shape coefficient met
LSCF
- 频域的模态参数识别方法之一，可以对振动信号进行分析处理，得出结构的固有频率，阻尼比，振型系数，方法很好，程序完整-Frequency-domain modal parameter identification methods that can analyze the vibration signal processing, draw the structure of natural frequencies, damping ratio, mode shape coefficient, very
levy
- 基于matlab平台有理分式多项式法模态参数识别-Based on matlab platform rational fraction polynomial method modal parameter identification
Parameter-optimization
- 针对滚动轴承早期故障特征提取困难的问题，提出一种基于参数优化变分模态分解的轴承早期故障诊断方法。首先利用粒子群优化算法对变分模态分解算法的最佳影响参数组合进行搜索，搜索结束后根据所得结果设定变分模态分解算法的惩罚参数和分量个数，并利用参数优化变分模态分解算法对故障信号进行处理。-Aiming at the difficult problem of early fault feature extraction of rolling bearing, an early fault diagnosis
VMD-Parameter-Estimation
- 变分模态分解在信号分解精度和噪声鲁棒性方面具有明显优势，但需预先确定模态数K，而目前K 只能靠先验知识进行预估，如果预估的K 与实际信号存在差异，会导致分解误差较大。针对以上问题，利用EMD 不需预先设定模态数的自适应分解特点，通过对EMD 分解结果的分析，进行VMD 分解模态数的估计，并通过仿真信号分析及滚动轴承故障信息提取-Variational modal decomposition has obvious advantages in signal decomposition accura
Stochastic-subspace-method
- 随机子空间法用于模态参数识别 能够识别频率阻尼-Stochastic subspace method for modal parameter identification
ITD
- itd，一种时域模态参数识别方法，可以得到结构频率，阻尼比，振型，可直接使用，不需更改-A time domain modal parameter identification, can be measured data get the structure frequency and damping ratio and mode shapes
pingpufenxi
- 最小二乘法，用于数据预处理，消除趋势项，减少误差-A time domain modal parameter identification, can be measured data get the structure frequency and damping ratio and mode shapes
lvboqi
- 数字滤波器，用于数据预处理，虑掉不需要的频率成分-A time domain modal parameter identification, can be measured data get the structure frequency and damping ratio and mode shapes
duoziyoudu
- 多自由度强迫振动计算，含详细解释，可以得到频率，阻尼比，振型-A time domain modal parameter identification, can be measured data get the structure frequency and damping ratio and mode shapes
sta_demo
- 随机子空间法，用于结构模态参数识别，能够得到结构频率，阻尼比，精度高-A time domain modal parameter identification, can be measured data get the structure frequency and damping ratio and mode shapes
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)
107215818123456
- ITD与NExT法联合进行模态参数识别，计算效率高(The modal parameter identification is performed by ITD and NExT method, and the calculation efficiency is high)
ssi—1
- 此程序为随机子空间法的模态参数识别程序，可用来识别模态参数（模态频率，模态振型，阻尼比）(This program is a stochastic subspace method modal parameter identification program that can be used to identify modal parameters (modal frequency, mode shape, damping ratio))
ERA
- 模态参数识别。特征实现算法era，输入响应信号，输出模态参数(Modal parameter identification)
ssi
- 随机子空间算法，可代入数据进行模态参数识别(Subspace algorithm, modal parameter identification)
9试验模态参数的时域识别方法
- 关于模态参数的时域识别方法，文件夹中包括6个源程序(For modal parameter identification in time domain, the folder contains 6 source programs.)
Plot stabilization diagram
- This is an example for plotting stabilization diagram of the identified modal parameter (frequency) of a system.
频域的模态参数识别方法
- 频域的模态参数识别方法,包括频域分解法FDD(Frequency domain modal parameter identification methods, including frequency domain decomposition method FDD)