搜索资源列表
rtcmas_client
- 小波包分析提取振动信号中的特征频率,以及能量谱分析计算-wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis
rtcmas_client
- 小波包分析提取振动信号中的特征频率,以及能量谱分析计算-wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis
wavelet
- 小波包分析提取振动信号中的特征频率,以及能量谱分析计算-wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis -Extraction of wavelet packet analysis in the vibration signal characteristic frequ
xiaobobao-BPwangluo
- 小波包和BP神经网络在齿轮箱故障诊断中的应用,本文对齿 轮箱振动信号应用小波包分解提取故障特征向量,进一步用特征向量训练前向传播BP人工神经网络。-xiaobobao、BP、gearbox fault detection
wavepage
- 小波包分析提取振动信号中的分解,系数重构特征频率,以及能量谱分析计算-Wavelet packet analysis to extract the vibration signal decomposition coefficient reconstruction of the characteristic frequency, and calculate the energy spectrum analysis
rtcmas_client
- 小波包分析提取振动信号中的特征频率,以及能量谱分析计算--wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis
56465456456465waveletpackage
- 基于matlab的小波包分解应用于机械振动信号的故障分析-Used in failure analysis of mechanical vibration signals based on the Matlab wavelet packet decomposition
xbb
- 一个小波包分解重构函数,用于振动信号的故障诊断-A wavelet packet decomposition and reconstruction functions for fault diagnosis of the vibration signal
Version1
- 小波包分解,重构轴承振动信号,Hilbert包络,FFT进行频谱分析,以获得轴承故障频率。-Wavelet packet decomposition, reconstruction of bearing vibration signal, Hilbert envelope, FFT spectrum analysis to obtain the bearing fault frequencies.
xiaobobaonengliangfenxi
- 小波包提取滚动轴承故障能量特征的matlab程序,大家只要把采集的滚动轴承振动信号数据放入程序中即可使用,希望对大家有所帮助。-Bearing Fault wavelet packet energy feature extraction matlab program, we just put a rolling bearing vibration signal collected data into the program to use
84
- 滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。-Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envel
xiaobobaoju
- 小波包能量巨程序(已做归一化处理,用于对振动信号提取特征)-Wavelet packet energy giant program (normalization process has been done for the vibration signal feature extraction)
xiaobobaochengxu
- 小波包降噪、提取能量特征值,用于振动信号处理、故障诊断等。里面有经典的例子,供大家学习-Extract the energy eigenvalues for vibration, wavelet packet de-noising, signal processing, fault diagnosis. There are classic examples, for everyone to learn
WPT
- 本代码包括小波包能量的提取,可以用于振动声发射噪声以及力信号的特征提取-this code is for energy of wpt Feature extraction such as Acoustic emission,vibration sound and force
421
- 针对齿轮滚动轴承等的早期损伤类故障, 提出将小波包分解作为包络分析的前置处理手段以提取振动信号的故障信息特征 。 在简述小波包基本原理的基础上, 通过仿真信号, 对振动信号的具体处理过程进行分析, 并对可能遇到的问题, 提出处理办法, 然后应用于诊断实例 。 -Early damage fault for rolling bearings and other gear, the proposed wavelet packet decom
dual-tree
- 首先将非平稳的故障振动信号进行双树复小波包分解,得 到不同频带的分量;然后对每个分量求其峭度值和相关系数并进行比较;最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构,即可有效地消除振动信号中噪声的干扰,同时保留信号中的有效信息即实 现了故障特征信息的提取。-In view of the above situation, a new fault diagnosis method is proposed
energy-leakage--dual-tree
- 首先根据高斯白噪声频率充满整个频带的特性,通过双树复小波包变换对高斯白噪声进行分解,利用频带能量泄漏的定量分析方法,验证了双树复小波包变换具有较低的频带能量泄漏特性;其次利用双树复小波包变换逐层分解信号,对每层分解所得分量求其FFT谱的峭度,得到基于双树复小波包变换的谱峭度图,根据图中峭度最大的原则,可以自动准确的选择信号分解最佳层数和最佳分量;最后将基于双树复小波包变换的谱峭度图的故障诊断方法应用于实际工程中,对齿轮故障振动信号进行分
xiaoboshenjingwangluo
- 提出了采用小波包的方法对供暖双吸式离心水泵轴承振动信号进行去噪和提取表征 相应轴承故障的频带能量 并采用 BP 神经网络进行训练和故障识别 通过 MATLAB 进行了仿真经试验验证该方法能够有效地识别出轴承故障-The wavelet package is adoptted to De-noise and extract band energy that represent bearing fault. and the BP n
故障诊断与容错控制课程设计报告
- 针对滚动轴承这种非平稳振动信号采用的小波包分解的方法来检测故障的存在,运用神经网络来实现故障的分类,还结合D-S理论融合了多个传感器的诊断结果,提高了故障诊断的准确性并通过实验仿真证实。(This course's job is to use the wavelet packet decomposition method for non-stationary vibration signals of rolling bearings t
aedmd
- 欢迎大家下载学习,真的是一个好程序,小波包分析提取振动信号中的特征频率。( Welcome to download the study, Really is a good program, Wavelet packet analysis to extract vibration signal characteristic frequency.)