Vibration-Analysis-Wavelet-for.rar - This paper describes a method for detecting faults
in the tap selector by means of vibration measurements during tap
changer operation, using envelope analysis based on Hilbert transform
and wavelet decomposition. Different failures at the tap selector
can be distinguished in the vibration signature as they are
reflected in different parts of that signature. The diagnosis parameters
allowing the most selective failure classification are found.,2014-04-17 16:10:50,下载6次
Vibration-Monitoring.rar - The HHT represents a time-dependent series in
a two-dimensional (2-D) time-frequency domain by extracting
instantaneous frequency components within the signal through
an Empirical Mode Decomposition (EMD) process. The analytical
background of the HHT is introduced, based on a synthetic
analytic signal, and its effectiveness is experimentally evaluated
using vibration signals measured on a test bearing. The results
demonstrate that HHT is suited for capturing transient events in
dynamic systems such as the propagation of structural defects in a
rolling bearing, thus providing a viable signal processing tool for
machine health monitoring.,2014-04-17 16:08:57,下载2次
A-Spectral-Approach-EMD.zip - Although it has
been proven to be particularly effective in many applications,EMD
method has several drawbacks. The major problem with EMD is
the lack of theoretical Framework which leads to difficulties for
the characterization and evaluation this approach. On top of the
mathematical model, there are other concerns with mode mixing
and transient phenomena, such as intermittency or pure tones separation.
This paper follows a previous published nonlinear diffusion-
based filtering to solve the mean-envelope estimation in sifting
process. The major improvements made in this present work are a
non-iterative resolution scheme for the previously proposed partial
differential equation (PDE), a new definition of the stopping function
used in the PDE framework, and finally an automatic regularization
process based on inverse problem theory to deal with mode
mixing or transient detection problem. Obtained,2014-04-15 21:07:46,下载8次
RidgeEEMD.zip - R-EEMD facilitates
nonuniform and trial-dependent weights obtained by an
optimization procedure during ensemble combination and results
in less decomposition errors when compared with the conventional
ensemble empirical mode decomposition techniques. A theoretic
result is then extended to demonstrate that R-EEMD has an ability
to solve the mode mixing problem frequently encountered in EMD
and improve the decomposition performance with adequate noise
strength when separating a composite two-tone signal. Based on
the proposed R-EEMD framework, a novel clutter rejection filter
for ultrasound color flow imaging is designed,2014-04-15 21:05:29,下载6次
Recent-timefrequency-analysis.zip - Nonstationary signal analysis is one of the main topics in the field of machinery fault diagnosis.Time-frequency analysis can identify the signal frequency components,
reveals their time variant features,and is an effective tool to extract machinery health information contained innonstationary signals.Various time-frequency analysis methods have been proposed and applied to machinery fault diagnosis.These include linear and bilineartime–frequency representations(e.g.,wavelet transform,Cohen and affine class distributions),adaptive parametric time-frequency an alysis(basedonatomic decomposition and time-frequency auto regressive moving average models),adaptive
non-parametric time–frequencyanalysis,2014-04-15 20:59:53,下载3次
diagnosis--based-on-LEM.zip - 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.,2014-04-15 20:57:04,下载7次
pint_2014_Applied-Acoustics.zip - The main problem in industrial application of bearing vibration diagnostics is the masking of informative
bearing signal by machine noise. The vibration signal of the rolling bearing is often covered or concealed
by other structural vibrations sources, such as gears. Although a number of vibration diagnostic
techniques have been developed over the last several years, in many cases these methods are quite complicated
in use or only effective at later stages of damage development. This paper presents an EMD-based
rolling bearing diagnosing method that shows potential for bearing damage detection at a much earlier
stage of damage development
,2014-04-15 20:40:22,下载4次
Printprint_Some-EMDandHVD.zip - The Empirical Mode Decomposition has become very populars in ceits first introduc
tion.Its suitability and expected performance for specific signal processing task is
however some what openended. Addressed are basic questions concerning the decomposition of ignals according to
different timescales,from noise sensitivityt of requency resolution.Comparing it to the
recently introduced Hilbert Vibration Decomposition,,2014-04-15 20:38:23,下载5次
BootStrap.rar - 数据处理中对于小数据集处理，针对不同的数据类型，设计不同的抽样方法，尤其是贝叶斯网络中小数据处理。
bagging.rar - Breiman的bagging算法，是bootstrap aggregating的缩写，是最早的Ensemble算法之一，它也是最直接容易实现，又有着另人惊讶的好效果的算法之一。
Untitled1.rar - Bootstrap有放回重抽样的基础编程程序，可以实现Bootstrap方法重抽样的过程，得到更多的样本进行统计分析
bootstrap.zip - Matlab中实现的bootstrap源码。可用于由原始数据集生成若干个子数据集。
bootstrap.zip - 用MATLAB编写的bootstrap算法，用于模式分类中的数据采样。
gcForest-master.zip - 深度森林代码，deep forest是周志华今年提出来的一个集成的森林模型，是传统的森林的模型在广度和深度上的一种集成
gcforest.zip - 这是17年3月份，周志华教授提出的GCforest的代码，代码是在南京大学数据挖掘研究所的官网上面下的，基于PYTHON实现的