Description: 2005年J.S.Smith提出的局域均值分解LMD(Local mean decomposition)的原始文献，该方法可用于故障诊断、特征提取、振动信号分析等多领域，是较EMD更为温和的一种自适应算法，目前是热门研究方法。-This is the original article about LMD——Local mean decompositon. Ihis method is a novel adaptive decomposition. It is more better than EMD and achieve more and more attention. Platform: |
Size: 616448 |
Author: |
Hits:
Description: 局部均值分解方法的matlab实现程序，经matlab7.0调试通过-Local mean decomposition method of matlab program, by matlab7.0 debugging through Platform: |
Size: 8192 |
Author:宋平 |
Hits:
Description: 对信号进行局部均值分解，得到一系列具有物理意义的pf分量-Local mean decomposition of the signal to obtain a series of having a physical meaning PF component Platform: |
Size: 7168 |
Author:king |
Hits:
Description: 介绍局部均值分解（一种非平稳信号处理方法）的文献。原理算法、故障分析等。-Literature describes the local mean decomposition (a non-stationary signal processing methods). Principle algorithms, fault analysis, and so on. Platform: |
Size: 18291712 |
Author:吴芸 |
Hits:
Description: 局域均值分解的程序，此为经验模态分解方法的另一种改进，此方法能够减小端点效应的影响，但是模态混叠问题还是没有得到完全抑制-Local mean decomposition process, this is the empirical mode decomposition method is another improvement, this method can reduce the effect of the endpoint, but the modal aliasing problem has still not been completely suppressed Platform: |
Size: 8192 |
Author:王文书 |
Hits:
Description: 局域均值分解算法，应用于EEG信号，没有采用滑动平均法-Local mean decomposition algorithm, used in EEG signals, without using the moving average method Platform: |
Size: 12288 |
Author:houhou |
Hits:
Description: 局部均值分解是由Smith提出的一种新的非线性和非平稳信号分析方法。由于LMD是依据信号本身的信息进行自适应分解的，产生的PF分量具有真实的物理意义，由此得到的时频分布能够清晰准确地反映出信号能量在空间各尺度上的分布规律。-Local mean decomposition is a new nonlinear and non-stationary signal analysis method proposed by the Smith. Since LMD information is based adaptive signal itself decomposed, resulting PF component has real physical meaning, when the resultant frequency distribution of the signal can be clearly and accurately reflect the spatial distribution of the energy of each scale. Platform: |
Size: 23552 |
Author:十一郎 |
Hits:
Description: 局域均值分解方法的找纯函数，其中包含HHT，FFT的代码-Local mean decomposition method to find pure function, containing the HHT, FFT of the code Platform: |
Size: 1024 |
Author:李春付 |
Hits:
Description: A novel fault feature extraction method based on the local mean decomposition technology
and multi-scale entropy is proposed in this paper. When fault occurs in roller bearings, the
vibration signals picked up would exactly display non-stationary characteristics. It is not
easy to make an accurate evaluation the working condition of the roller bearings only
through traditional time-domain methods or frequency-domain methods. Therefore, local
mean decomposition method, a new self-adaptive time-frequency method, is used as a
pretreatment to decompose the non-stationary vibration signal of a roller bearing into a
number of product functions. Furthermore, the multi-scale entropy, referring to the calculation
of sample entropy across a sequence of scales, is introduced here. The multi-scale entropy of
each product function can be calculated as the feature vectors. The analysis results from
practical bearing vibration signals demonstrate that the proposed method is effective.-A novel fault feature extraction method based on the local mean decomposition technology
and multi-scale entropy is proposed in this paper. When fault occurs in roller bearings, the
vibration signals picked up would exactly display non-stationary characteristics. It is not
easy to make an accurate evaluation on the working condition of the roller bearings only
through traditional time-domain methods or frequency-domain methods. Therefore, local
mean decomposition method, a new self-adaptive time-frequency method, is used as a
pretreatment to decompose the non-stationary vibration signal of a roller bearing into a
number of product functions. Furthermore, the multi-scale entropy, referring to the calculation
of sample entropy across a sequence of scales, is introduced here. The multi-scale entropy of
each product function can be calculated as the feature vectors. The analysis results from
practical bearing vibration signals demonstrate that the proposed method is effective. Platform: |
Size: 1274880 |
Author:唐建 |
Hits:
Description: 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 facilitate the call Platform: |
Size: 1024 |
Author:李春付 |
Hits:
Search - local mean decomposition