搜索资源列表
wavePsvm
- 小波分解与最小二乘支持向量机，用于天线故障诊断。-Wavelet decomposition and least squares support vector machine for antenna diagnostics.
matlabaavc
- MATLAB与VC_混合编程实现一维小波多尺度分解_汉泽西.pdf用于电网故障检测-VC_ MATLAB mixed programming with one-dimensional wavelet multiscale decomposition _ Hanze Xi. Pdf for grid fault detection
emdqyj
- 经验模态分解，EMD代码，采用经验模态分解求取行波故障波形突变点-emd code
wavelet-BP(matlab)
- 通过小波进行分解、滤波、重构后作为BP神经网络的输入，以此提高BP神经网络的计算精度，用于故障诊断中的模式识别-Through the wavelet decomposition, filtering, reconstructed as BP neural network input, in order to improve the calculation accuracy of BP neural network for fault diagnosis pattern recognition
emd
- 用于故障诊断、数据分析等领域的经验模态分解方法-For fault diagnosis, data analysis and other fields of empirical mode decomposition method
IMFdsp
- 快速模态分解，用以处理电流信号的奇异性，找到行波突变点，用在故障输电线路故障定位上-Fast mode decomposition to handle current signal singularity point mutation found traveling wave, with the failure of transmission line fault location
wavelet-energy
- 利用小波分解得到各尺度上的信号，再积分求取各尺度上的能量，可用于故障诊断-Signal using wavelet decomposition on each scale, and then strike points on each scale energy can be used for troubleshooting
EMD
- 信号处理的EMD方法，适用于非平稳非线性信号的自使用分解。可用于机械故障信号的处理。-EMD signal processing method for non-stationary signals from the use of non-linear decomposition. Can be used to deal with mechanical failure signal.
TestLMD
- 测试成功的局部均值分解算法，可应用在故障诊断中-The test successful local mean decomposition algorithm，can be used in fault diagnosis
1
- 齿轮箱故障诊断中振动信号是非线性、非平稳的，所以在分析振动信号之前需要对信号进行平稳化处理，该段是EMD分解的程序。-Gearbox Fault Diagnosis vibration signal is nonlinear, non-stationary, so before analyzing vibration signals the need for a smooth signal processing, the segment is the EMD program.
EEMD2
- 这是一个EEMD 分解的程序，可以用在故障诊断中，可以运行-This is a EEMD decomposition program that can be used in fault diagnosis, you can run
emd
- 可以有效方便地对原始数据进行自适应分解，广泛用于故障诊断和模式识别等方面的特征提取。-Can be effectively and easily decompose the raw data adaptively, widely used in troubleshooting and other aspects of the pattern recognition feature extraction.
kurtosis
- 滚动轴承故障诊断 小波包分解 峭度最大尺度重构-Roller Bearing Fault Diagnosis Based on Wavelet Packet Decomposition kurtosis largest scale reconstruction
lmd_outer
- 轴承外圈12K实际信号LMD分解程序，信号包络频谱，能明显提取故障特征-LMD bearing outer ring 12K actual signal decomposition process, the signal envelope spectrum, can significantly fault features
emd
- 西储大学电机轴承故障诊断，EMD分解程序，含包络谱，能量谱-Case western reserve university motor bearing fault diagnosis, the EMD decomposition procedure, including envelope spectrum, energy spectrum
xiaobofangli
- 小波变换分解低频和高频，并计算能谱熵用以区分区内外故障-Wavelet transform is decomposed into high and low frequency, and energy entropy calculation for partitions inside and outside the fault zone
yAxk
- 分布式系统的程序，基于simulink编写，模型主要解决的问题是将一个完整的大系统，分解成多个分布式的系统，然后可以进行控制，故障诊断等研究。-Distributed system procedures, prepared based on simulink model the main problem is to complete a large system into multiple distributed systems, and can be controlled, and fault
MP
- 此程序为稀疏分解匹配追踪的算法，应用于轴承信号故障处理中-This program is a sparse decomposition matching pursuit algorithm, applied to the bearing signal fault processing
cluster_VMDaFCM_casedat
- 为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM
HHT
- 基于经验模式分解提出的希尔伯特黄变换的程序运行，用于故障诊断信号处理-Based on empirical mode decomposition of the Hilbert Huang transform the procedure for the operation of the signal processing for fault diagnosis