搜索资源列表
STFT
- 短时傅里叶变换,主要用于故障诊断和信号处理，很好用-Short-time Fourier transform
bearing
- 轴承信号故障诊断小波特征提取 采用公开的轴承信号作为源信号-Bearing fault diagnosis signal wavelet feature extraction
matlabacSharp
- 用小波包分析实现轴承故障诊断，信号分析处理，界面编程-Bearing fault diagnosis using wavelet packet analysis and signal analysis and processing, interface programming
DRSSD
- Ivan Selesnick 教授的RSS方法的程序，可用于语音信号、脑电信号、机械故障信号的诊断。-Professor Ivan Selesnick the RSS program method can be used for speech signals, EEG, mechanical failure diagnosis signal.
ICA
- 本程序主要是关于ICA独立成分分析对数据进行提取，进行故障诊断的。-you may be use it to diagnose the problem. we call it ICA.
PCA-KPCA
- 主成分分析(Principle Component Analysis, PCA)是最为常用的特征提取方法，被广泛应用到各领域，如图像处理、综合评价、语音识别、故障诊断等。-Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as
nervous
- 根据滚动轴承的内圈，外圈，滚动体，正常四方面做故障诊断预处理-According to the fault of rolling bearing inner ring, outer ring, rolling body, the normal four fault diagnosis pretreatment
baoluopufenxifangfa
- 这个方法运用很广泛，在故障诊断方面用的很多，查看特征频率，最后都要使用此方法-This method is widely used in the fault diagnosis of a lot of use, to view the characteristics of frequency, and finally to use this method
iter-division
- 自己编写的比较全面的故障诊断matlab函数程序,包括统计法,时域法-Write your own comprehensive fault diagnosis of matlab functions, including statistics, time domain method
xiaobo
- 可以利用小波变换与谱分析，进而实现对设备的故障诊断(Using wavelet to realize fault diagnosis)