搜索资源列表
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
EMD
- matlab EMD 降噪方法 m文件 可以分析振动信号-Analysis of vibration signal can be matlab EMD noise reduction method for M documents
DataRead
- matlab 读取振动信号数据程序 适合了解振动信号结构（头文件）-The MATLAB reads the data of the vibration signal of program suitable for vibration signal structure (header)
tezhengtiqu
- 用matlab程序对正常和故障的风电机组振动信号进行特征提取，提取时域的16个特征值-Using matlab program for normal and faulty wind turbine vibration signal feature extraction, extraction time domain 16 eigenvalues
matlab-shock
- 该程序主要基于对信号的处理，主要功能是实现振动合成，振动合成模块，该模块分为两个部分：频率相同的简谐振动的合成、同一直线上不同频率的两个简谐振动的合成。-The program is mainly based on the signal processing, the main function is to achieve the synthesis of vibration, vibration synthesis module, which is divided into two parts
Diesel-Engine-Fault-Diagnosis
- 概率神经网络机械故障诊断matlab程序 通过振动信号预判机械故障-Diesel Engine Fault Diagnosis
zhendongxinhaopinyuchuli
- 对振动信号进行频域处理包括：信号谱分析，matlab中没有的窗函数处理，三分之一倍频程处理-The vibration signal of the frequency domain includes: signal spectrum analysis, the window function in MATLAB no, 1/3 octave processing,,,
Vibration-Signal-Processing
- 本程序为《matlab在振动信号处理中应用》的配套程序，对于振动信号的处理，时域频域信号的处理有很大的帮助-This program is " matlab application in vibration signal processing" matching program for processing vibration signal processing time domain and frequency domain signal of great help
Matlab.m
- 共振解调法诊断轴承损伤类故障的原理概述如下:当轴承某一元件表面出现局部损伤时，在受载运行过程中要撞击与之相互作用的其它元件表面，产生冲击脉冲力，由于冲击脉冲力的频带很宽，必然包含轴承外圈、传感器甚至附加的谐振器等的固有频率而激起这个测振系统的高频固有振动。根据实际情况可以选择某一高频固有振动作为研究对象，通过中心频率等于该固有频率的带通滤波器把该固有振动分离出来。然后进行包络解调，去除高频衰减振动的频率成分，得到只包含故障特征信息的低频包络信号，对这一包络信号进行频谱分析便可以容易地诊断出轴承的
zhouchengshujuzixiangguan
- 基于MATLAB开发的振动信号的自相关处理方法-Autocorrelation processed signal
gonglvpumidu
- 将传感器测得振动信号，通过MATLAB程序代码转化的功率谱密度函数-The sensor measures vibration signals, power spectral density function by MATLAB code conversion
MATLAB-super-learning-program-code
- matlab时频分析，STFT, CWT，WVD，平滑伪WVD，伪WVD，Rihacazek分布，Margenau-Hill分布，Page分布，伪Page分布，Choi-Williams分布，重排伪Wigner-Ville分布， 重排伪page分布，对时频分析学习的很好资料，对非平稳信号处理有很大帮助，无损检测，振动检测，对学习和处理信号有很大帮助-Matlab time-frequency analysis, STFT, CWT, WVD, smoothed pseudo Wigner Vil
MATLABcode
- matlab在振动信号处理中的应用代码，基本包含所有基础的信号分析-Signal analysis matlab vibration signal processing application code that contains all the basic foundation
kiuseng
- 利用matlab GUI实现的串口编程例子，对于初学者具有参考意义，小波包分析提取振动信号中的特征频率。- Use serial programming examples matlab GUI implementation, For beginners with a reference value, Wavelet packet analysis to extract vibration signal characteristic frequency.
qaineng_v23
- matlab开发工具箱中的支持向量机，小波包分析提取振动信号中的特征频率，经典的灰度共生矩阵纹理计算方法。- matlab development toolbox support vector machine, Wavelet packet analysis to extract vibration signal characteristic frequency, Classic GLCM texture calculation method.
fangjou
- 可以实现模式识别领域的数据的分类及回归，小波包分析提取振动信号中的特征频率，通过matlab代码。- You can achieve data classification and regression pattern recognition, Wavelet packet analysis to extract vibration signal characteristic frequency, By matlab code.
fiebang
- 小波包分析提取振动信号中的特征频率，通过matlab代码，正确率可以达到98％。- Wavelet packet analysis to extract vibration signal characteristic frequency, By matlab code, Accuracy can reach 98 .
jingyui_v19
- 可以动态调节运行环境的参数，小波包分析提取振动信号中的特征频率，基于小波变换的数字水印算法matlab代码。- Can dynamically adjust the parameters of the operating environment, Wavelet packet analysis to extract vibration signal characteristic frequency, Based on wavelet transform digital watermarking
qingmai
- 采用偏最小二乘法，用MATLAB编写的遗传算法路径规划，小波包分析提取振动信号中的特征频率。- Partial least squares method, Genetic algorithms using MATLAB path planning, Wavelet packet analysis to extract vibration signal characteristic frequency.
neijei
- 小波包分析提取振动信号中的特征频率，旋转机械二维全息谱计算的实用例程，基于matlab平台实现。- Wavelet packet analysis to extract vibration signal characteristic frequency, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Based on matlab platform.