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Ch1999
- 小波变换在故障诊断中的应用 441 18.1 引言 441 18.2 基本原理 442 18.3 小波变换在轴承故障诊断中的应用 444 18.3.1 轴承外环故障诊断 444 18.3.2 轴承滚动体故障诊断 448 18.4 小波变换在齿轮故障诊断中的应用 450 18.5 小波包在轴承故障诊断中的应用 452 18.5.1 轴承外环故障诊断 453 18.5.2 轴承滚动体故障诊断 454-wavelet transform fault diagnosi
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
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
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.
dieselwear
- 本文分析了现有振动方法在柴油机故障诊断研究和实际应用方面存在的问题,提出了基于振动产生和传播机理的诊断研究方法,介绍了基于这种方法的活塞-缸套磨损和滑动主轴承磨损故障振动诊断机理的理论分析和试验研究结果,提出了一种新的振动诊断法。 -This paper analyzes the existing method of Diesel Engine Vibration Fault Diagnosis and problems in practical applications is propos
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.
Asis
- 改进BP算法在转炉轴承故障诊断中的应用An Improved BP Algorithm in the converter bearing fault diagnosis-An Improved BP Algorithm in the converter bearing fault diagnosis
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
xiaobobao-BP-zhoucheng-zhenduan-
- 基于小波包特征向量与神经网络的滚动轴承故障诊断。：基于故障轴承的特征提取，提出了将小波包分析与神经网络结合的滚动轴承故障诊断方法。对滚动轴承信号进行3层小波包分解，构造小波包特征向量作为故障样本，用训练好的BP神经网络进行故障诊断，试验结果表明，该方法能够有效地诊断出滚动轴承的故障类型。-Fault Diagnosis of Rolling Bearings Based on W avelet Packet Energy Eigenvector and Neural Network
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
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.
PracticalDataEnvelopeTest
- 故障诊断，包络解调分析，对于轴承故障诊断非常有效-Fault diagnosis, envelope demodulation, very effective for bearing fault diagnosis
resonance-demodulation
- LabVIEW下自动实现共振解调，广泛应用于轴承信号故障诊断。-LabVIEW automatically achieve resonance demodulation, the signal is widely used in bearing fault diagnosis.
9klmn4.ZIP
- 基于小波及非线性预测的轴承故障诊断方法Based on Wavelet and nonlinear prediction of fault diagnosis method of rolling bearings-Based on Wavelet and nonlinear prediction of fault diagnosis method of rolling bearings
11.18SWT
- 信号处理的包络谱，对轴承故障信号进行分析计算，可以直接调用。(The envelope spectrum of signal processing can be called directly.)
圆域分析
- 此文件作出故障诊断时圆域分析方法，效果非常好，可以用来故障识别。(This file makes a fault diagnosis of the circle domain analysis method, the effect is very good, can be used for fault identification.)
eemdaddKurtosis criterion
- 利用eemd分解信号以及峭度准则筛选最佳分量，并对筛选的分量做包络谱，进而诊断出故障类型。(EEMD is used to decompose the signal and kurtosis criterion to screen the best components, and the envelope spectrum of the selected components is made, and then the fault types are diagnosed.)
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
利用傅里叶变换和包络谱对轴承异响的分析
- 利用轴承声音信号做频谱分析和包络谱分析。(using voice of bearing vibration for FFT and hilbert FFT)
fangzhen
- 更改参数可以获得不同大小缺陷的仿真信号，并且画出相应的图像，可以用于轴承故障定量诊断(The simulation signals of different size defects can be obtained by changing the parameters.)