搜索资源列表
ssi
- 随机子空间算法，用于模态参数识别，可以学习-Stochastic subspace algorithm for modal parameter identification, we can learn
suijizikongjian
- 随机子空间的matlab主程序代码，可以实现高精度的辨识。按照《基于随机子空间和最小二乘法的介质损耗角测量方法》、常军博士论文《随机子空间方法在桥梁模态参数辨识中的应用研究》编写。-Stochastic subspace matlab main code, you can achieve high-precision recognition. Accordance with the " stochastic subspace-based least-squares method and
ssi
- 随机子空间方法的模态参数识别，程序是matlab-Stochastic subspace modal parameter identification procedures
SSI
- 协方差驱动的模态参数识别的SSI算法,基于斜拉桥的环境激励算法-Covariance-driven modal parameter identification of the SSI algorithm, based on the environmental incentive stayed algorithm
modalidentification
- 模态参数辨识方法，主要是利用时域数据进行时域模态参数辨识-time modal identification method
2idt
- ITD进行模态识别，得到模态参数,ITD 法是一种单输入多输出、基于包含系统参数的自由振动方程识别结构参数的方法，-ITD modal identification, get the modal parameters.ITD method is a single-input multiple-output, based on the structure of the free vibration equation parameters include system identification
measured_FRF_valuesdefination
- 频率响应函数计算程序,通过输入结构的响应数据，识别结构的模态参数，matlab-frequency response function，
NDT
- 采用NDT法进行模态参数识别的MATLAB程序-The modal parameter identification using NDT method
ERADC
- 用于模态参数识别 可以识别频率和阻尼，利用eradc法，未列出振型识别的语句，可以自由添加 -For modal parameter identification Frequency and damping can be identified using eradc method, modal recognition statement is not listed, you can freely add
time-domain-recognization-method-
- 对振动信号进行时域分析，得到模态参数的方法。-The vibration signal in time domain analysis, modal parameters.
fuzhi
- 模态参数识别中，采用最小二乘法以得到幅值-During Modal parameter identification, using the least squares method to obtain the amplitude
prony_analysis
- MATLAB程序，prce法计算模态参数-PRCE method
ID_ssi
- 基于MATLAB的随机子空间算法，对唯输出数据进行分析，可以很好地识别出系统的模态参数。-Based on stochastic subspace algorithm based on MATLAB, the only output data for analysis, can be well identified modal parameters of the system.
SSI
- 随机状态子空间实验模态参数识别方法算法源程序-ssi modal identification
vibra_motaishiyu
- matlab实现振动信号试验模态参数时域识别：STD法和复指数法-matlan achieve vibration signals in time domain experimental modal parameters identification: STD modal parameter identification method and the complex exponential law modal parameter identification
era
- 模态参数识别时域算法ERA，目前最实用的算法，需要配合随机减量法或NExT算法。-Modal parameter identification in time domain algorithm ERA, the most practical algorithm, need to meet the random decrement method or NExT algorithms.
frequncy-domain-modal-identification
- 基于频域的模态参数识别算法算例，都是比较经典的方法，不过现在基本不用，但对于该学科历史了解有帮助。-Modal parameter identification algorithm frequency domain numerical examples are based on more classic, but now the basic need, but for the discipline of history to understand help.
get_modal.m
- 根据C、M、K矩阵计算模态参数：固有频率、振型向量、阻尼比，并可区分比例阻尼还是非比例阻尼-Calculate the modal parameters C, M, K matrix: natural frequency, mode shape vectors, damping ratio, and can distinguish proportional damping or non-proportional damping
parameter-identification
- 桥梁结构模态参数识别,emd,hht,wt-parameter identification using emd method
shiyanmotaicanshudepinyushibie
- 试验模态参数的频域识别包括：导纳圆法模态参数识别，最小二乘模态参数识别，加权最小二乘法模态参数识别-Frequency domain identification of experimental modal parameters including: admittance method for modal parameter identification, modal parameter identification of least squares, weighted least square