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have been presented, most effective performance improvement method is believed to weight reduction of vehicle body materials[1].
Load and displacement that occurred during the experiment were stored in real-time by the data-handling system.
Input data to obtain reliability life cycles N for spot welded joint T K300 k KmolekJ ⋅/4.418 0t sec10 13− 0U molekJ /10384.8 3− × 1500 2000 2500 3000 3500 1000 10 4 10 5 10 6 Calculated data Experimental data(3_7kA) Load Range (N) Number of cycle, N(cycle) Fig.5 Fatigue life for 2 lap spot welded joint with welding current 8kA 1500 2000 2500 3000 3500 1000 104 105 10 6 Calculated data Experimental data(2_8kA) Load Range (N) Number of cycle, N(cycle) Fig. 6 Fatigue life for 3 lap spot welded joint with welding current 7kA 10000 100000 1000000 4 5 6 7 8 9 10 11 HS40R_3_CAL HS40R_2_CAL HS40R_2_EXP HS40R_3_EXP Fatigue Life (cycle) Welding Current(kA) Fig.7 Fatigue life for spot welded joint with welding current Figs. 5 and 6 show the comparison of fatigue lives of 2 lap and 3 lap spot welding specimens, respectively.
This decrease in fatigue life is considered to have contributed to the reduction in weld ability according to welding thickness.

Data on the effect of superplasticity at γ → α transformation in chromium tungsten weld metal are absent.
From the data in Figure 2 shows that the cooling of the samples of steel Т1 (ASTM USA) with a temperature of 1200° C the effect of kinetic plasticity at the phase transformation, which is manifested in the reduction of temporary stress in the range of martensitic temperature.
From the data in figure 2 shows that in the range of martensitic transformation temporary voltage drops in half to two times as compared with the magnitude of the stress accumulated in the austenite region.
Characterization tool weld metal ductility in the range of martensitic transformation has not previously made, and such data in the literature.
The data obtained in studies on thermal installations microscopy verified by us to develop a method for of surfacing workpieces 100 mm diameter cored wires of different chemical composition.

Nervous fatigue manifests itself by: reducing accuracy and movement speed reduction reduced visual precision, reduction reactions, headache, dizziness and insomnia.
The Data used for the Experiment The parameters used to train the network are: - Input parameters: the temperature, the humidity, the noise, the lighting, the training degree, the healthy, work program, work rate, physical load, physical wear, appropriate use, reliability and the complexity.
The network training process whit Matlab The network was tested with some different input data located in a separated text file.
In this case, the data sets are considerably reduced.
As it can be seen from the experimental results, the designed feed forward neural network recognizes very well the test data.

This paper predicts the effect of main parameters to the failure behavior of T300/AG80 composite plate under preload and laser irradiation by experimental testing and data fitting.
The experimental data were fitted to obtain the expression of the materials failure time with preload and laser power density.
In this work, the relation of preload and laser density to time-to-failure for latitudinal specimens was acquired by fitting experimental data, and analyze the impact of the overlay on the life.
The time-to-failure of latitudinal specimens decreased when the laser power densities increased and the decreasing trend was exacerbated as the laser power densities increased further compared with the experimental data of the literature [8].
By surfaces fitting of experimental data, the empirical formula for latitudinal specimens among time-to-failure, pre-stress and laser power densities is given in Eq. 4 for the tension test and in Eq. 6 for the compression test.

Data Collection.
Most of the state parameters are gained by data collection work based on sensors.
Cluster analysis belongs to no supervised recognition mode which is suitable for multidimensional data set and powerful for the research of data evenness.
The technologies of data collection, feature extraction and state recognition which are the fundamentals of PHM technology are also presented.
Research of Data Fusion for Diagnosing Types of Tribological Failures by Dampster Shafer.

Multi-channel analog switch and differential amplifier are used for multi-channel data acquisition, and the equalization circuit is used for the balance of each single cell.
One is the system of multi-channel data acquisition, multi-channel analog switches and differential amplifier are used to collect the the monomers voltage in series-connected cells.
Data Acquisition.
The main task of BMS is sampling, all algorithms of the BMS use measured and calculated data as input information.
The experimental data prove that the li-ion BMS can accurately collect voltage data and balance control.

Graphene oxide nanosheets were synthesized using a modified Hummers method with simultaneous in-situ functionalization with aniline and ionic Pt reduction and dispersion through sonication.
The temperature was then elevated to 100 ºC using silicone bath and constantly stirred with a magnetic stirrer for 24 h to allow for continuous agitation and reduction of the ionic platinum and some GO to take place.
The crystallinity and the particle size of the electrode materials were qualitatively and quantitatively studied by XRD where data was obtained using Diffractometer D8 Advance manufactured by Bruker AXS (Germany) and fitted with Cu-K-Alpha radiation (1.5406 angstroms) LynexEye detector.
The peak at 284 nm (4.392 eV) is due to reduction of GO to F-GO.
Platinum nanoparticles are suggested to play an important role in the reduction of GO when using ethylene glycol as a reducing agent.

Specifically, they were the 1995 land use data for China, the Globcover v2.2 and the definitions of China’s forest ecoregions (Fig. 1 and Table Ⅰ), respectively.
In which, the 1995 land use data, with a 250-m spatial resolution, were prepared by the Institute of Geographic Sciences and Natural Resources, CAS (Chinese Academy of Sciences), providing 30 land use classes.
For the 1995 land use data, forest (natural and man-made), open forest or woodland and other wooded land were grouped into one forest class.
Practically, no single scale or window size can be correct for all purposes, but the analysis at the smallest scale was believed to be feasible and to give out the fine data characteristics [14].
Santiago, “Forest fragmentation estimated from remotely sensed data: is comparison across scales possible,” Forest Science, vol. 51 (1), pp. 51-63, 2005

The adsorption data fitted well with the Thomas and Yoon–Nelson models.
Thus, the contact time for TNT molecule to AmL is shorter at higher flow rate, causing a reduction in qeq* and removal efficiency.
From Table 2, the adsorption data can be best described by Yoon–Nelson models (R2 > 0.92).
The data in Table 2 also indicated that τ values from the calculation were basically consistent with experimental results τEXP.
For TNT adsorption, the column experimental data can be described and fit using the Yoon–Nelson model.

Weighting although is not the mandatory element of LCIA is the element in which local data becomes important.
Thus, it can be possible to assess environmental impacts of building materials by using local data.
Fig.1 The distribution of the panelists The Development of the Survey and the Data Collection Process A survey for the weighting of the impact categories is prepared in accordance with the Analytic Hierarchy Process (AHP) proposed by Saaty [5].
It is observed that the data supported the results.
Conclusions This paper emphasize that the most accurate findings for the environmental impact assessment are usually obtained where the product, process, technology, and location-specific data for a building material is used.