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EEMD
- 该算法可自适应地将信号分解成若干单分量信号(The algorithm can adaptively decompose the signal into several single component signals.)
stem_1.m
- 能够运行的matlab简单程序，比较易懂，可以在此基础上进行扩展。(The matlab simple program that can run EEMD simple program is easy to understand and can be extended on this basis)
EEMD
- 各种负荷预测的论文，都是SCI，可以用来学习的(All kinds of load forecasting methods can be used to learn)
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 ty
Improved Ensemble Empirical Mode Decomposition
- Improved Ensemble Empirical Mode Decomposition and its Applications to Gearbox Fault Signal Processing, Keywords: Complementary Ensemble Empirical Mode Decomposition(CEEMD), Improved Complementary Ensemble Empirical Mode
eemd
- emmd程序，有比较详细的注释，用于处理振动信号(EMMD program, detailed annotation)
形态滤波降噪
- 采用形态滤波器去除噪声，分别采用eemd、形态滤波器小波去噪等方法去噪，并对比(choose Morphology filters for analyzing roller bearing fault signal, and compared to the EMD EEMD WT METHODES)
EWT
- 经验小波变换，将信号分解为多个子特征的子序列。性能较EMD、EEMD、WD等有所提升。(Empirical wavelet transform decomposes the signal into sub sequences of multiple sub features. The performance is improved compared with EMD, EEMD, WD and so on.)
HHSA_CPU_code_20160623
- 主要用於分析時序資料，HSA(Time,IF,AM) && HHS(IF,HoloIF,HoloAM) 這是從不同面相看資料，時間、瞬時頻率、振福 瞬時頻率、波峰瞬時頻率、波峰瞬時振幅 這樣就可以看到被感應器偵測到的訊號中有不同空間頻率的能量疊加在整個 RAW 資料之中 Data -> [CEEMD] -> IMF IMF -> [AM-FM] -> AM,FM FM
用于信号的EMD、EEMD、VMD分解
- 用于信号的分解、降噪和重构，实现故障诊断(Used for signal decomposition, noise reduction and reconstruction to realize fault diagnosis)
台湾中央大学HHT程序
- 希尔伯特-黄变换的matlab程序，内含集合经验模态分解文件(Hilbert Huang transform matlab program, including set empirical mode decomposition file)
iceemdan.m
- 信号iceemdan模态分解，包含测试信号，简单易实现，需要自己安装emd工具箱((It can be used for signal EMD, EEMD, VMD decomposition. Because the algorithm adds its own annotations, it's easy to understand))
VMD代码
- VMD代码，该程序对信号进行经验模式分解，可以用于故障信号处理，还可以与很对方法结合。如，排列熵，emd,vmd,等，包含VMD、EMD、EEMD工具箱，可用于变分模态分解、EMD以及EEMD谐波检测对对比分析(VMD code, the program for empirical mode decomposition of signals, can be used for fault signal processing, can al
基于经验模态分解的混沌信号去噪方法设计
- 在基于EEMD基础上引入灰色理论对混沌信号进行去噪。将原始噪声信号被EEMD分解成几个IMF分量，通过灰色关系分析（GRA）评估IMF分量的噪声水平，利用灰色模型（G-model）自动选择阈值方法需要处理的IMF分量，最后重建处理后的IMF和其他IMF以获得去噪信号