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bearigout
- 轴承外环故障诊断，故障设置为外环局部剥落，故障特征频率为外环通过频率或倍频理论计算得到475.6Hz.-Bearing outer ring fault diagnosis, fault set to the outer ring local spalling, the failure characteristic frequency for the outer ring through the frequency or frequency theoretical calculations 47
xiaobosuanfa
- 采样频率 fs=10000 轴承外环故障信号 fid=fopen( bearingout.dat , r ) 故障 N=1024 xdata=fread(fid,N, int16 ) fclose(fid) xdata=(xdata-mean(xdata))/std(xdata,1) 时域波形 figure(1) plot(1:N,xdata) xlabel( 时间 t/n ) ylabel( 电压 V/v )
f14_1xiugai
- 轴承外圈故障——利用小波变换检测轴承外环故障-Bearing outer ring failure- using wavelet transform outer bearing fault detection
mainn
- 用于绘制滚动轴承故障的频谱图和包络解谱图，从而判断轴承故障-Used to draw the rolling bearing fault frequency spectrum and spectral envelope solutions, in order to determine bearing failure
Bearing_failure_analysis
- 共振解调,轴承故障分析程序,对故障信号进行小波分析，获取轴承故障信息-Demodulated resonance, bearing failure analysis program, the fault signal wavelet analysis for bearing fault information
kpca
- 核主成分分析，用于轴承故障，人面识别，水位分布等的数据非线性提取。-Kernel principal component analysis for data bearing failure, human face recognition, water distribution and other non-linear extraction.
Fast-Kurtogram
- 轴承故障谱峭度分析，打开直接运行，包含包络谱分析-Bearing failure analysis of spectral kurtosis, open directly run, including envelope spectrum analysis
lly1
- 针对滚动轴承故障信号具有非平稳、非高斯的特点，提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上，以滚动轴承外圈故障振动信号为例，采用多种信号处理方法进行了分析。结果表明，各种分析方法在分析轴承故障时的特点各不相同，在实际使用中，可将时域分析与小波分析综合使用，实现轴承状态的实时监测与故障的准确定位。-For rolling bearing fault signals have non-stationary, non-Gaussian, we pro
q
- 文件为matlab程序段，为轴承外圈脉冲故障情况下的时频信号-File matlab program segment, the bearing outer ring pulse frequency signal in case of failure
fx
- 常用的信号频域分析程序，如自相关分析，包络解调，轴心轨迹绘制等程序。附加轴承故障数据。-Commonly used frequency domain signal analysis program, such as auto-correlation analysis, envelope demodulation, Orbit drawing and other procedures. Additional bearing failure data.
pinpu_xcorr
- 此程序主要用于处理轴承和齿轮故障，先进行傅里叶变换，然后在信号频域内做频谱自相关，通过频谱自相关，可以识别频谱中的周期性调制信息-This procedure is mainly used for processing the bearing and gear failure, Fourier transform first, and then the signal in the frequency domain spectrum autocorrelation, through spectru
Rolling bear
- 采用PCA白化和K均值对轴承故障进行聚类分析(Clustering analysis of bearing failure by PCA whitening and K mean)
bearingFaultDiagnosisa
- 包含轴承故障数据，来源于MFPT（Machinery Failure Prevent Technology）论坛，分四组训练数据和测试数据； 数据可直接做频谱分析，效果很好(contain bearing faults data sets, 4 train datas and 4 test datas, can be used for FFT/envespectrum analysis, and you will get perfect effects.)
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)