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matlab-in-bearing-fault-diagnosis
- 在机械故障诊断中，采集数据和进行信号处理，利用MATLAB实现滚动轴承的状态监测-Mechanical fault diagnosis, data collection and signal processing, using MATLAB to achieve the status of monitoring of rolling bearings
bearing-fault-test-data
- 轴承的振动试验数据包括：内环、外环和滚动体故障以及正常四种情况下的数据-bearing fault data
vgfg
- 基于振动信号的滚动轴承故障诊断的方法研究.nh-Based on the vibration signals of rolling bearing fault diagnosis method. Nh
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
bearingroll
- 轴承滚动体故障诊断，故障设置为滚动体局部剥落，故障特征频率为外环通过频率或倍频理论计算得到218.98Hz.-Rolling bearing fault diagnosis, fault set rolling local spalling, the failure characteristic frequency for the outer ring through the frequency or frequency theoretical calculations 218.98Hz.
FFT_3D
- 针对轴承故障，利用信号采集系统采集三种故障信号，应用FFT，画出3维频谱-For the bearing failure, the use of signal acquisition system collected three kinds of fault signals, applied FFT, draw three-dimensional spectrum
guzhang
- matlab程序，运用小波变换的方法进行轴承故障诊断-matlab program, using wavelet transform to detect bearing fault
MethodofFaultDiagnosisforRollingBearingBasedonBPNe
- 将BP神经网络应用于滚动轴承故障诊断，实现滚动轴承的智能化故障诊断和状态监测，软件平台为MATLAB。-BP neural network to fault diagnosis of rolling bearing, rolling bearing to achieve intelligent fault diagnosis and condition monitoring software platform for MATLAB.
wv-gear-and-bearing
- Application of mother wavelet functions for automatic gear and bearing fault diagnosis：应用小波函数对齿轮和轴承进行故障诊断-Application of mother wavelet functions for automatic gear and bearing fault diagnosis
program-and-data-sets
- 本程序是用于在时域中分析处理轴承故障数据的，提取了各种时域的特征参数，包括均值，有效值，峭度，裕度指标，波形指标等等 适合初学者用于轴承的故障诊断中对参数的提取。（附上轴承故障数据3类共21组 正常、内圈、外圈）-This procedure is used in the time domain analysis of bearing fault data processing to extract the characteristics of various time domain param
12k-Drive-End-Bearing-Fault-Data
- 人工神经网络算法，用于故障诊断，可以判断故障类型。-Artificial neural network algorithm for fault diagnosis, fault type can be judged.
xiaobo_guzhangzhenduan
- 介绍了小波变换方法在轴承故障诊断方面的应用，对于信号检测方面的初学者有帮助。-Wavelet transform method described in the application of the bearing fault diagnosis, signal detection for beginners help.
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
bearing
- This a fault data from bearing.-This is a fault data from bearing.
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
fault-diagnosis-of-rolling-bearings
- 滚动轴承故障特征的时间_小波能量谱提取方法，机械工程学报-extraction of rolling bearing fault feature based on time-wavelet energy spectrum,journal of mechanical engineering
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
bearing-fault--ball
- 滚动轴承的故障识别，可以利用HTM技术进行故障识别，确定故障类型-Rolling bearing fault identification, you can use HTM technology to identify faults, determine the type of fault
Wind-power-bearing-test
- 风电机组轴承的状态监测和故障诊断与运行维护-Wind turbine bearing condition monitoring and fault diagnosis and operation and maintenance
Study-on-compound-fault-diagnosis
- 针对滚动轴承复合故障信号特征难以分离的问题， 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方 法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠， 对 故障信号特征提取有很大的干扰， 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离， 从而尽可能消除频率混叠 最后 对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调， 即可实现对复合故障特征信息的分离和故障识别-Aiming at the diff