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Wavelet.rar
- 小波包变换分析信号的MATLAB程序，可用于提取故障特征向量,Wavelet packet transform analysis of signals in MATLAB procedures, can be used to extract fault feature vector
Extractionoffaultfeaturevector
- 用小波包提取故障特征向量并归一化，很实用，论文里的部分程序-Extracted using wavelet packet fault eigenvector and normalized, it is useful, some of the procedures in the thesis
gear
- 基于db10四层分解的齿轮的故障特征提取-Decomposition based on the four-db10 gear fault feature extraction
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- 三篇关于小波变换的文章，主要用在故障诊断领域的主要利用小波变换来提取故障特征。（本文档需要用CAJViewer打开）-Three articles on the wavelet transform, is mainly used in the field of fault diagnosis using wavelet transform to extract the main fault feature. (This document will need CAJViewer open)
Untitled
- 利用小波变换实现对故障信号的特征提取 构造特征向量-Wavelet transform feature extraction of fault signals structural feature vector
xsj
- 基于小波变换的碰磨故障信号的特征提取，可以画出信号原图，轴心轨迹，频谱图以及多层小波变换的重构信号-Based on wavelet transform rubbing fault signal feature extraction, the signal can be drawn artwork, orbit, spectrum and signal reconstruction wavelet multi-
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
Selection-of-Wavelet
- 通过定性与定量的分析, 提出了在对冲击信号进行连续小波变换时选择最佳小波基函数的方法和小波变换 后故障特征提取效果优劣的检验手段, 并且得出了对于冲击性信号的连续小波变换, 小波基函数的最佳选择为 M o rlet函数的结论。-A method for selecting the best wavelet base in cont inuous wavelet transform (CWT) for impulse signals is introduced, and a test fo
guzhangzhenduan
- 这是一本介绍旋转机械故障诊断的论文，采用小波变换方法提取故障特诊，我导师的一个项目就是用的这种特征提取方法，比较成功。-this is a book that introduce the matheds of error dector and we have tested it in our project.
tuxiangfenxi
- 在matlab中对大量的轴承故障的特征信号进行小波包分解，提取特征值，并建立神经网络训练，最终可由网络进行故障的分析-In matlab large number of bearing fault characteristic signal wavelet packet decomposition, extract characteristic values, and the establishment of neural network training, and ultimately by
PCA-KPCA
- 主成分分析(Principle Component Analysis, PCA)是最为常用的特征提取方法，被广泛应用到各领域，如图像处理、综合评价、语音识别、故障诊断等。-Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as
xbbtzztqt
- 故障分为很多种，该程序是利用小波包把故障特征提取出来，用于判断接下来出现的情况是把一种故障-The fault is divided into many, the program is using wavelet packet to extract the fault features out, used to judge the next case to a fault
zhouchen
- 小波阈值自动选取方案去噪，并用HHT对去噪后的轴承信号进行处理，提取故障特征。-Wavelet threshold de-noising program automatically chooses, for bearing with HHT denoised signal processing, fault features.
cyclostationary_toolbox
- 循环平稳信号是一类特殊的非平稳信号，其统计特征具有随时间呈周期变化的特点。旋转机械由于周期运行方式其振动信号具有循环平稳特性，因此利用循环平稳分析方法能够提取出在平稳假设下所不能得到的隐藏故障特征信息，为有效地分离和识别旋转机械早期微弱故障特征提供可能。(The cyclostationary signal is a special type of non-stationary signal whose statistical characteristics have a periodic va