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data_analysis_
- 画出轴承时域图形，并进行FFT做出频域图像，进而判断轴承故障(Draw the time domain figure of the bearing. And the FFT is made to make the frequency domain image. And then judge the bearing fault)
基于VMD和Teager能量谱的滚动轴承故障特征提取
- 基于VMD和1_5维Teager能量谱的滚动轴承故障特征提取_向玲(To extract _ Ling fault features of rolling bearing VMD and 1_5 dimension Teager based on energy spectrum)
轴承故障
- 轴承故障诊断，用于分析轴承外圈故障的经验模态分解(Bearing fault diagnosis)
计算轴承故障特征频率
- 简单的labview,实现计算轴承故障特征频率(Calculation of characteristic frequency of bearing fault)
故障诊断
- 采用时域、频域、FFT小波变换及数学形态等分析方法完成对滚动轴承的故障诊断(Fault diagnosis of rolling bearing is completed by using time-domain, frequency domain, FFT wavelet transform and mathematical morphology.)
轴承故障诊断程序，有数据，有运行结果
- 轴承故障诊断程序，其中有数据，结果分析，matlab算法。(Fault diagnosis program for bearing,Including data and results analysis.)
guzhang
- 故障诊断课程设计，电机轴承故障诊断，FFT，Haar小波分析,时域分析，数学形态分析等(Fault diagnosis curriculum design, motor bearing fault diagnosis, FFT, Haar wavelet analysis, time domain analysis, mathematical morphology analysis, etc.)
emd+改进阈值函数
- 利用emd分解轴承振动信号，并通过改进阈值函数来筛选IMF分量，最后对分量做包络分析，诊断出故障类型。(Using emd to decompose the bearing vibration signal, the IMF component was selected by improving the threshold function, and finally the component was enveloped and analyzed to diagnose the fault ty
模糊熵程序
- 本文件为一个轴承故障诊断指标，名字为模糊熵，可以作为特征量的筛选指标，也可用作为特征指标。(This document is a bearing fault diagnosis index, whose name is fuzzy entropy, which can be used as a screening index of characteristic quantity, and can also be used as a characteristic index.)
117143196FaultDiagnosis
- 轴承故障诊断，有很好的效果能运行。基于模型(Bearing fault diagnosis for empirical mode decomposition of bearing outer ring fault analysis)
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- 很好的深度学习资料，用深度学习dbn模型在这个轴承故障的分类上一个很好的应用(Using this deep learning DBN model in bearing fault classification)
fangzhen
- 利用MATLAB程序仿真轴承内圈不同故障程度信号。仿真信号X由故障信号 与白噪声r两部分构成(Use MATLAB program to simulate the signal of different failure degree of bearing inner ring. Simulation signal X consists of two parts: fault signal and white noise r)
VMD
- VMD方法是在传统维纳滤波的基础上，提出的一种非递归自适应信号分解新方法。与EMD方法和LMD方法相比，VMD方法分解的信号，具有精度高、收敛快和鲁棒性好等特点，适用于处理滚动轴承故障信号。(The VMD method is a new non recursive adaptive signal decomposition method based on traditional Wiener filtering. Compared with the EMD method and the LMD
形态滤波降噪
- 采用形态滤波器去除噪声，分别采用eemd、形态滤波器小波去噪等方法去噪，并对比(choose Morphology filters for analyzing roller bearing fault signal, and compared to the EMD EEMD WT METHODES)
zhoucheng
- 轴承故障仿真信号时域波形图和轴承故障仿真信号幅度谱图的MATLAB程序(Bearing fault simulation signal time domain waveform and amplitude spectrum)
EMD-Hilbert
- 轴承故障诊断中振动信号EMD分解和Hilbert包络(EMD Decomposition and Hilbert Envelope of Vibration Signal in Bearing Fault Diagnosis)
Desktop
- 实现滚动轴承故障诊断,对人工模拟的滚动轴承外圈故障实现诊断(Realization of rolling bearing fault diagnosis)
VMD
- 基于VMD的机车滚动轴承故障，变转速的测量(Measurement of Rolling Bearing Fault and Variable Speed of Locomotive Based on VMD)
VMD优化
- 基于VMD的机车滚动轴承故障，变转速的测量，VMD的优化(Measurement of Rolling Bearing Fault and Variable Speed of Locomotive Based on VMD)
FSWT与TT
- 滚动轴承故障诊断,欢迎下载适用~~~~~~~~~~~~~~~~~~(Fault Diagnosis of Rolling Bearing, Welcome to Download Application Run the program to analyze the signal and get some columns of graphics. Time domain waveform, spectrum, envelope spectrum, fswt decomposition wavef