搜索资源列表
zhouchenggund
- 轴承滚动体故障诊断代码，内含频率计算，大家一起学习
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 )
bearing-fault-frequency-calculation
- 故障频率计算程序，计算轴承各部件的故障频率-Failure rate calculation program to calculate the bearing parts of the fault frequency
bpcs
- 这是一个把神经网络直接应用于轴承的故障诊断的程序，输入轴承的信号，直接得答案-This is a direct application of neural network in bearing fault diagnosis procedures, input bearing signal, a direct answer
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
Resonant-demodulation-
- 用共振解调法实现轴承的内圈、故障外圈故障、滚动体故障的自动识别-Use resonant demodulation method to implement bearing the inner circle, fault fault, between the fault of roller automatic identification.
OWAVELET-FOR-u
- 轴承外环的故障检测 MATLAB小波实现 -The bearing outer ring of the MATLAB wavelet to achieve fault detection
神经网络matlab.rar
- 这是一份对于西储大学的轴承数据神经网络分析，主要数据在官网上可以下。(This is a neural network analysis of the bearing data of the West University of storage, the main data can be under the official website.)
p2_0_generate_training_data
- 凯斯西储大学数据，轴承故障诊断过程，数据预处理(generate training data)
emd
- 基于EMD滚动轴承故障诊断的编程，将振动信号进行分解得到特征频率(Based on EMD programming of rolling bearing fault diagnosis, the vibration signal is decomposed to obtain characteristic frequency)
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)
Signal
- 用于轴承转轴信号仿真，构建仿真信息，以此基础上添加故障信号，可用于轴承信号分析。(It is used to simulate the signal of bearing rotating shaft and construct the simulation information.)
局部经验模态分解
- 基于局部经验模态分解，可以很好地提取轴承故障特征
DRS（Up to Pudn）
- 包含三个M文件，程序为本人自行编译完成，Demo中设有仿真信号验证，并经本人实际齿轮箱信号（轴承外圈故障）测试，经包络分析结果显示能够有效定位轴承外圈故障频率。 亲测可用。(It contains three M files. The program is compiled and completed by myself. Demo has simulation signal validation. It has been tested by my actual gear box signal
vmd
- 轴承故障信号vmd分解及输出频谱图和幅值图，内含main、vmd及输出频谱图和幅值图三个程序，直接用main就行(VMD decomposition of bearing fault signal and output spectrum and amplitude diagram)
AR_MED_filter
- AR-MED 滤波，可用于轴承故障诊断，齿轮故障诊断(AR-MED filter for bearings fault diagnosis)
时域特征和频域特征
- MATLAB的轴承故障时域特征和频域特征提取(Bearing fault time domain feature and frequency domain feature extraction)
谱分析
- 轴承故障的三种谱分析（倒频谱，功率谱，细化谱）(Three kinds of spectrum analysis of bearing fault.)
中介轴承
- 鼠笼电机转子断条故障的定子电流信号故障诊断，平方解调谱分析