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The need for further weight reduction is expanding the future use of magnesium to critical components such as transmission and engine parts.
Fig. 6 shows the all experimental data logarithmically plotted as strain rate, , versus the normalized stress, (σ/G) in the creep conditions of 175 oC and the applied stress between 50-80MPa.
The plot is shown in Fig. 7 for the data with n = 3.5 taking σ = 70MPa.
Thus a reduction or elimination of the Mg17Al12 volume will lead to improvement in creep resistance.
There is a wide stress ranges at intermediate stresses and a single testing temperature where the datum points usually fall along a line having a slope within the range of ～3 to 6[11].

Five drying models were evaluated for the thin-layer data.
They were therefore fitted to the experimental data for sesame seed drying in the current study.
The change of the grain moisture content, with time, was calculated from the mass change data.
Therefore, for further analysis of data, only Page’s equation was used.
Data fit version 9.05 Oakdale Engineering, Oakdale, PA 15070, USA. 2008

The performed theoretically analysis is compared with the experimental reported data.
Saunders have proposed that the improved efficiency of a hybrid ETA solar cell needs the efficient charge separation and reduction of effective series resistance by increasing interface area of the nanoparticles and the p-type materials.
The electrons and holes are used in separate reduction and oxidation reactions at the TiO2 surface, so extending the lifetime of each charge carrier is vitally important to improving the efficiency of TiO2 as a functional photocatalyst [17].

But, the fault diagnosis process by human operators is time consuming and human error may lead to a faulty diagnosis, therefore a fuzzy inference system, as a consulting system that simulates the problem solving ability of human experts, which provides the correct and timely diagnosis of shearer faults would have a major effect on reduction of repair time, unnecessary expenditures for upgrades, and improvement of the performance of industrial maintenance programs and moreover will increase the reliability of the system.
Next, the membership functions and rules are desiged, and the inference system is defined for the data base.
Implementation Fuzzification is a process in which the input data, precise or imprecise is converted into fuzzy variable.
Table. 1 The data sheet of Rij abtained from worker’s experience and practice X1 Underpressure X2 Small flow X3 High temperature X4 Noise X5 Oil leak F1 Main pump fault F2 Motor fault F3 Slippagepump fault F4 Rectifying valve fault F5 Overpressurevalve fault F6 high pressure safety valve fault F7 low-pressure safety valve fault F8 Back pressure valve fault F9 Relief valve fault F10 Filter fault F11 Main oil loop fault F12 Switchingvalve fault F13 Slave valve fault F14 Oil quality F15 Cooling system problem 0.6 0.7 0.6 0.6 0.4 0.4 0.2 0.3 0.1 0.3 0.6 0.2 0.2 0.3 0.2 0.6 0.6 0.2 0.7 0.5 0.5 0.2 0.4 0 0.3 0.6 0.4 0.3 0.3 0.1 0.3 0.2 0.1 0.7 0.1 0.1 0.1 0.1 0.1 0 0 0.1 0.1 0.2 0.8 0.5 0.6 0.1 0.4 0.1 0.1 0.1 0.1 0 0.3 0.3 0.1 0.1 0.4 0 0.2 0.4 0.5 0.4 0.2 0.2 0.2 0.2 0.2 0 0.7 0.2 0.2 0 0 Because the fault occurs randomly, membership function reflects the relation
The study has shown that a fuzzy FDI system of shear, capable of learning from example data to improve performance, is a viable option worthy of further investigation.

Angle domain average technique Angular sampling is a data acquisition technique where digital sampling is carried out at equal angular displacements of the gearbox shaft.
If the re-sampled vibration signal consists of revolutions, and each revolution has data samples, then the angle domain average is taken by (1) where ,.
The number of revolution, , is determined according to the noise reduction requirement and computer memory limitation.
After sampling, the measured vibration signal were loaded into MATLAB from data-files.
Fig. 2 displays the resample data.The corresponding angle domain average signal is shown in Fig. 3.

Finite element model parameters are as follows: the unit length is 4mm; and it has 47164 tetrahedral element obtained from meshing method of 20 nodes and SOILD186 unit to the model; the engine shell material is a hard aluminum alloy and the parameter is (1) (2) (3) Fig.1 Finite element model of the engine shell Modal Analysis plays an important role in the engine vibration and noise reduction [5].
The collected data was saved with a string of binary text file, and define a table parameter using“ Array Parameters-Define/Edit” in ANSYS.
The data was read into the table through “Array Operations-Read From File”.
After the transient analysis to the engine shell model, we need to extract the node response data of the surface of the shell structure through APDL to write finite element spectral analysis program, which is the boundary conditions of the shell surface for SYSNOISE calculation.
Fig. 2 The theoretical analysis model for calculation of noise radiation The displacement data got from the result of transient analysis of the surface node was imported into SYSNOISE.

Introduction In dam safety monitoring, analysis and processing of dam deformation monitoring data is very significant..
Least squares support vector machine (LS - SVM) is an extension of a standard support vector machine, which is different from the conventional method using equality constraints, LS-SVM can convert the SVM quadratic programming problem into solving linear equations ,not only makes a significant reduction in the workload, but also improves the computing speed.
Given the data set , consider the regression model: , (1) where is a nonlinear function which maps the input space into a high dimensional space.
Markov chains can furtherly correct data which LS-SVM treated, thereby improving the accuracy and effectiveness.
[6] Huteng Bo, YE Jian Castanopsis, Markov chain model in GIS data prediction [j].

Experiment results and data analysis 4.1 Tensile Test Data Analysis As shown in figure 1, it was observed that the tensile property of PE film became lower.
There was a nearly linear reduction in curve while ultraviolet aging, the change rate of tensile strength was lowered from 5.13% to 15.08% at 48h to 120h.
These results suggested that the effect on the tensile strength of PE film was more significant by ultraviolet aging, the tensile strength declined fast, and the film became easy to break. 4.2 Air permeability test data analysis The air permeability results of PE film by ultraviolet and thermal aging were shown as figure 4, the unit is cm3/m2*24h*0.1MPa.
Fig. 5 The moisture permeability curves of PE film by ultraviolet and thermal aging Fig.4 The air permeability curves of PE film by ultraviolet and thermal aging 4.3 Moisture permeability test data analysis The moisture permeability results of PE film by ultraviolet and thermal aging were shown as figure 5, the unit is g/m2*24h.

In accordance with the relevant data show that in indoor air exceeds 60% radon comes from the construction of the Foundation and surrounding soil, deep in the strata containing uranium, radium and thorium in soils and rocks, there are high concentrations of radon.
Surveys of Controlling Indoor Radon Through the Housing Decoration This survey selects 1-4 residential floor, a total of 16 units for objects, each bedroom and study as a test point, four building detection points sort to the same respectively from 1-10, will be measured by average the four same point detection data, and eventually averaged in.
Before the measurement will closed the detective doors and windows, preventing the data from swinging by ventilation .
From the data (Table 2), you can see, the indoor radon concentration decrease range is larger than the first stage, second stage reduction maximum, this shows that the walls laying ground install wallpaper, wood flooring and other decoration methods for radon obstructive role more obvious.

This type of reservoir damage is usually difficult to eliminate and exhibits decreasing of water injection ability, reduction of reservoir pressure and working fluid level, and invalid regular pump checking[4].
Data Process.
K01,10-3μm2 K02,10-3μm2 KW,10-3μm2 KS,10-3μm2 IW,% It,% IS1,% 1 1-1# 0.075 --- 0.058 --- 22.76 --- 11.50 1-2# --- 0.071 --- 0.047 --- 34.26 2 2-1# 0.069 --- 0.055 --- 20.88 --- 8.35 2-2# --- 0.067 --- 0.048 --- 29.23 3 3-1# 0.062 --- 0.049 --- 21.78 --- 12.93 3-2# --- 0.060 --- 0.039 --- 34.69 The incompatibility between injected water and reservoir water does exist by analyzing above data.
Data Process.
Data analysis is shown in Fig. 2.