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convwavepacket_fenjie
- 这是自己编的卷积型小波包的分解程序，用于机械故障特征提取，实现了克服Mallat算法数据量减少和产生虚假频率的缺陷-Own series of convolution type of wavelet packet decomposition procedures for mechanical fault feature extraction to overcome the defects of the the Mallat algorithm decrease in the amount of
advanced-harmonic-wavelet-packet
- 自己编的改进谐波小波包实现程序，实现了信号经过谐波小波包变换后幅值不变，适合于机械故障特征提取-The own series improved harmonic wavelet packet achieve signal amplitude unchanged after harmonic wavelet packet transform, for mechanical fault feature extraction
wavelet-packet-de_re
- 用小波工具箱函数实现小波包的分解与重构，非常适合与机械故障特征提取。-Wavelet packet decomposition and reconstruction, and is ideal for mechanical fault feature extraction using wavelet toolbox functions.
xiaobo4cengfenxi
- 小波分析，对振动信号的分析，用于提取故障特征。-Wavelet analysis, the analysis of vibration signals for extracting fault feature.
ceemd
- 这是一段eemd分解的程序，可以直接使用，可用于故障信号的分解，提取故障特征，进行故障判断的一段程序。-This is a eemd decomposition process, can be used directly, can be used to decompose the fault signal fault feature extraction, a procedure for fault judgment.
med2d
- 一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+，]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上，对保留信号进行最小熵反褶积，增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题，实车测试表明: 与共振解调技术相比，该方法提取的滚动轴承故障特征更加明显，更适合于工程应用"-Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (
tuxingpiliangchuli
- 针对局域均值分解方法的数据进行批量处理，该算法是运用在故障信号特征提取方面的研究，将故障信号的数据进行批量的处理，以方便调用-In view of the local mean decomposition method to batch processing of data, the algorithm is used in fault signal feature extraction, the fault signal to batch processing of data, to faci
HHT
- 把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。-The combination of HHT and neural network to identify whether the fault. For the HHT tr
waveletpacketdecomp
- 一维信号特征提取参考程序，正常信号和故障信号特征的提取，开发环境为MATLAB。是使用小波分解处理信号的参考，使用了小波包三层分解。-One dimensional signal feature extraction reference program, normal signals and fault feature extraction, the development environment of MATLAB.Is the use of wavelet decomposition pro
ConditonIndex
- MTLAB常用故障特征提取函数,包括统计量、小波熵、高阶统计量、尺度熵、相关熵等函数-MATLAB functions of fault feature extraction
选线
- 配电网保护的故障特征提取，提取故障后的突变量(Fault feature extraction of distribution network protection to extract the mutation after fault)
代码
- 基于emd,eemd的滚动故障特征提取的代码，含完整的emd，eemd算法(Empirical Mode Decomposition)
发电机声音检测与故障诊断研究
- 发电机故障检测与诊断方面的论文。包括发电机声音信号采集、处理，特征值提取和基于BP神经网络的分类。(paper.About:fault detection ,feature extraction.Based on the generator sound detection and fault diagnosis research)
齿轮箱信号分析
- 故障特征提取matlab程序。用于齿轮箱特征提取(Fault feature extraction matlab program.)
order
- matlab阶次分析，matlab实现的阶次分析算法，用于变转速机械故障特征提取，可运行，包含寻找脉冲时刻，等角度时刻，数字跟踪滤波，样条差值等步骤(Matlab order analysis, the order analysis algorithm realized by MATLAB, is used to extract the fault features of variable speed machinery. It can be operated, including findin
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)