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The data is collected through the rolling bearings data center in Case Western Reserve University.
The motor turning speed from training data is 1750 rp/min; while from test data 1772 rp/min.
The vibration data is collected through acceleration sensor. 1200 data points are collected in each second.
The data in detail is shown in Table 1.
Intelligent Data Engineering and Automated Learning.

As a result, we collected a series of data of temperature-humidity index, radiation temperature and wind velocity, made a good deal of graphs by data analysis and reduction.
We collected the data about temperature, humidity, radiation temperature, wind speed and wind direction etc.
Table 1: Measuring details Table 2: Weather data of Wuhan Weather Statio No.
Analysis and Comparison of Temperature Data in the Morning on Aug. 14th and Aug. 16th.
Analysis and Comparison of Temperature Data at Night on Aug. 14th and Aug. 16th.

Currently, these roll bite peaks are approximated with Heat Transfer Coefficients ‘HTC’ macroscopically tuned on measured mill data.
Temperature signals during rolling have been stored using a data acquisition system (16 bits–sampling frequency: 3-5 kHz).
Evaluation of roll surface temperature and heat flux by inverse calculation (model n°1) Influence of strip reduction.
This trend is due to the higher heat dissipated by plastic deformation corresponding to the higher strip reductions.
HTCroll-bite as a function of strip reduction.

Guangzhou 510530, P R China afuwanjun2002@163.com, bjlft488@163.com Keywords: soft fiber wadding; water purification; energy saving; emission reduction Abstract.A new promising water purification technology, soft fiber wadding filter, was introduced in this article.
The technology has the advantages of energy saving and emission reduction efficiency greatly, is currently the most advanced water purification.
Quartz sand filter and soft fiber filter the actual data comparison results are shown in Table 2 Table 2.

Shear modulus reduction and the two shear threshold strains Dynamic shear modulus reduction are plotted in Fig. 4.
These results are consistent with the data for noncohesive soils obtained indirectly by Hsu and Vucetic[3].
The newly obtained data in Fig. 4 are obviously in broad agreement with the previously published results by Hsu and Vucetic[3].
Comparison between the second threshold shear strain values and shear modulus reduction curves obtained confirms that the soil behavior is considerably nonlinear at.
RELATION BETWEEN SECANT SHEAR MODULUS REDUCTION AND THE TWO SHEAR THRESHOLD STRAINS Conclusions This paper carries on dynamic constitutive modelling by use of thermodynamic approach.

The characteristic parameters of the migration of this boundary - activation enthalpy and preexponential factor - were determined and are discussed in context of the previously obtained data.
Results and discussion The annealing of the sample promotes the reduction of the grain boundary energy via the reduction of its area.
Obtained data were analyzed assuming the migration velocity v is defined as m MF dt da v == (1) where M is the grain boundary mobility which depends on the annealing temperature T, F is the driving force and m is the exponent.
Obtained data are summarized in Table 1 and the temperature dependence of Mγ is shown in Fig. 3.
These data are comparable with those of other special grain boundaries.

Seismic Data Denoising Simulation Research Based on Wavelet Transform Shucong Liu1, a, Ergen Gao1,a and Chen Xun1,a 1 Institute of Disaster Prevention, Sanhe, China afzxylsc@sina.com Keywords: seimic denoising; wavelet packet; simulation; MATLAB; Abstract: The wavelet packet transform is a new time-frequency analysis method, and is superior to the traditional wavelet transform and Fourier transform, which can finely do time-frequency dividion on seismic data.
In some conditions it requires some data processing in order to suppress the noise to improve the resolution of seismic data when relying completely suppress random noise in field is not possible.
Wavelet analysis has been applied in the seismic data.
Wavelet packet[4] was used for multi-resolution analysis to seismic data, not only low-frequency seismic data were done continuous decomposition, but the information lost in low-frequency is also decomposed, in order to achieve more precise decomposition method than the wavelet analysis to meet the time field seismic frequency component precisely division.
A research on the noise-elimination method of pre-stack seismic data by wavelet packet transform.

On the basis of the carried-out experimental research and the literature data the key points concerning the required properties of modifiers have been formulated.
As we can see from these data, the good agreement of the dosage, calculated according to the adsorption data, and the optimal dosage according to the rheological data is observed.
So, reduction of the plastic viscosity value will reduce the load on the electric motor of a concrete mixing machine.
The good agreement of the dosage, calculated according to the adsorption data, and the optimal dosage according to the rheological data is observed.
This is expressed in the reduction of the most probable diameter of particles from 13–16 µm to 3–5 µm.

The proposed technique is implemented on large sets of laboratory data and shows promising results.
Equivalent circuit model parameters of the processed data are obtained by fitting the experimental data using ACM software.
The laboratory data of the current signals of fresh and old samples are investigated.
The non-stationary nature of coating extracted features from laboratory data, are used to detect variations and hence coating deteriorations.
The proposed technique is implemented on large sets of laboratory data and shows excellent results.

Therefore it is vital to define to what extent the change of unit pressure will influence reduction of surface roughness of intermetallic coatings.
The increase of unit pressure exerted on coatings surface causes the reduction of its roughness.
The influence of unit pressure on intermetallic coating surface roughness reduction ratio is provided in Fig. 2.
Higher values of surface roughness reduction ratio were measured for intermetallic Ni3Al coatings.
On the basis of the data included in Table 1 and in Fig. 3 it is possible to conclude that a considerable improvement of surface adhesion took place after plastic working, which was demonstrated by curves of the bearing area.