搜索资源列表
EMD
- LABVIEW下实现自动的EMD分解，广泛应用于故障诊断系统-LABVIEW automatically under the EMD decomposition is widely used in fault diagnosis system
18-7
- 利用小波包分解4种不同间隙的局部碰磨故障，可查看故障的频谱。-The use of wavelet packet decomposition of 4 different partial gap Rubbing failure, failure to see the spectrum.
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
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.
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
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.
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
(EEMD)Prony
- MATLAB实现基于EEMD和prony信号分解的故障测距模型。也可配合EMD文件。 内有备注-MATLAB realization of fault location model EMD and prony signal decomposition. But also with EMD file. There are Notes
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
svdprony
- 使用奇异值分解算法的prony算法用于电机故障诊断-SVD algorithm prony algorithm for the motor fault diagnosis
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
Wavelet-analysis-code
- 利用小波分析来检测VSC-HVDC系统中的故障。用小波分解来实现去噪的功能-Using wavelet analysis to the fault detection of VSC- HVDC system. Using wavelet decomposition to realize the denoising function
Wavelet-feature-analysis-
- 装入变换放大器输入输出数据画出正常信号与故障信号的原始波形用dbl小波包对正常信号s1进行三层分解-Wavelet feature analysis
RONGYUZIDIAN
- 利用构造冗余字典的方法实现数据分类问题，将数据进行稀疏分解，通过稀疏向量和残差判断故障类型-The method of using structural redundancy dictionary for data classification problem, the data are sparse decomposition, through sparse vector and residual judge fault type
_风力发电机组叶片故障诊断
- 风机叶片的裂纹和断裂是导致风机机组事故的重要因素之一，尽早诊断出风机叶片的 故障部位与故障程度，对安全生产具有意义重大。本文将叶片振动信号作为研究对象，利用小波分解方法对其进行信号分解，并与时域和频域方法处理结果进行对比分析，得出诊断结论。仿真结果表明: 小波分解方法可以更有效的获取故障特征信号，具有较高的故障诊断率。(The crack and fracture of fan blade is one of the important factors that cause the accid
变压器故障诊断
- EMD分解程序，变压器故障论文，小波分解，各种变压器故障分析论文(EMD decomposition program)
mrsvd
- 实现多分辨率奇异值分解程序,可用于故障诊断、消除噪声等(multi resolvetion svd decompotion)
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
Kmeans故障聚类
- C语言做的聚类学习的旋转机械故障诊断，已经经过验证，可以作为参考。(C language clustering learning of rotating machinery fault diagnosis has been verified, and can be used as a reference.)