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But this method has limitations because it only analyzes some rain data of a region.
Ref. [11] designed a kind of automatic data acquisition system for real-time observation of conductor icing.
When wire freezes, sensor will deform and the sensible weak current will be transmitted to the data collection terminal.
Finally wire icing data are obtained by PC104 processing.
Meteorology and Disaster Reduction Research Vol. 31, No. 4 (2008), p. 59 (In Chinese) [4] Xiaogang Ma, Xiaobo Qu, Yuean Li, et al.

The data obtained suggest that the materials manufactured can be effectively used in the systems of syngas manufacturing (for the Fischer – Tropsch process) and in the production of hydrogen from natural gas.
The CS reaction involves reduction of part of NiO (3NiO + 2Al → 3Ni + Al2O3) and alloying of the powders of different oxides.
Summary The data obtained in this work suggest that combustion synthesized catalysts containing rare-earth elements could be effectively used in the systems of syngas manufacturing to be further implemented in the Fischer – Tropsch process (the required ratio Н2/CO = 2) and in the production of hydrogen fuel.

Determination and comparison of optimal placement scheme for Dalian International Trade Mansion Tinghua Yi1,2,a, Hongnan Li1,b and Ming Gu2,c 1 Faculty of Infrastructure Engineering, State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology, Dalian, 116023, China 2 State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai, 200092, China a yth@dlut.edu.cn, b hnli@dlut.edu.cn, c minggu@tongji.edu.cn Key words: Optimal Sensor Placement, Structural Health Monitoring, Dalian International Trade Mansion, Effective Independence.
This paper considers the problem of locating sensors on the flexible structures with the aim of maximizing the data information so that structural dynamic behavior could be fully characterized.
In order to provide input data for the OSP method a 3-D FE model of the mansion was built using the ETABS software, as shown in Fig.1(b).

Then the new filter method is applied to deal with data where the region of Quebec, Canada.
From the filter results, frequency estimated filter can get better result in steep terrain area(the middle part of the interferogram),but in the flat terrain area(both sides of the interferogram)the result is poor, resulting in the “island” phenomenon, and the number of residual reduces to 2669.Wiener filter method is opposite to the frequency estimated filter, resulting in better result in sparse stripes, in the intensive stripes the minimum mean square error estimation produces streaks overlap, the number of residual is 1477.The proposed method selects the filter method according to weight coefficients of local terrain slope, the result obtained is more accurate, noise suppression affection is significant, and better maintain the phase detailed information, the number of residual is 923,residual reduction rate is 97.6%.
And using real data, frequency estimated filter, Wiener filter and this paper method are compared and analyzed.

Figure 2 Comparison between measured data and simulation results for SiC PiN diodes.
By adjusting the Schottky barrier height in the simulation setting, we obtain simulated forward I-V characteristics that match the measured data for both wafers.
The measured data obtained from PiN diodes are shown in Fig. 2.
A comparison of measured data between wafer #1 and wafer #2 reveals that ∆V, the shift of Vth, is larger in wafer #1 than in wafer#2.
The postponed reduction of the depletion layer increases the threshold voltage of MPS diodes to conduct unipolar current.

Pretreatment of Data.The data used in this paper are all derived from the measured data provided by Ningxia Electric Power Dispatching Center.
Due to the error existing in the process of measurement and transmission, the processing of bad data removal and data standardization is carried out before data calculation and analysis.
When there is no time delay, most of the two curves show negative correlation or slightly positive correlation (data in yellow).
When there is some time delay, the two curves can achieve a good positive correlation in different months (data in red).
Multi-objective optimization for combined heat and power economic dispatch with power transmission loss and emission reduction[J].

The computer not only is data processing center, but also is instrument control center.
The computer not only is data processing center, but also is instrument control center.
The system includes signal processing, data control and systematic uncertainty.
The technical data of stepping data with the type of 110BF003 is selected as the data input.
And the computer not only is data processing center, but also is instrument control center.

The bigger the reduction zone, the higher the volume concentration of biomass gas component, or the less.
Gas Brandvardi Q(MJ/m3) 1 2 3 4 5 6 7 8 9 Simulation Results 11.15 11.94 11.77 11.41 11.53 11.24 10.12 10.63 10.54 Experimental Data 11.02 10.98 10.78 10.51 10.74 10.43 9.34 9.69 9.62 Relative Error(%) 9.18 8.74 9.18 8.56 7.36 7.77 8.35 9.70 9.56 From Table 4, In orthogonal experiment, the experimental results of the nine operating condition were less than its numerical simulation results, the relative errors between experimental data and numerical simulation data were under 10%, which were belong to the range of allowable errors.
Therefore, the experimental data is agree well with numerical simulation data basically, and experiment number 2 is the best parameters, which are h=180mm, V0=0.94m3/h and Vs=1.30m3/h.
Table 5 The comparison results of biomass fuel gas heating value Comparative Items Experimental Data Comparative Items Experimental Data Optimization Parameters Q(MJ/m3) 10.98 Optimization Parameters Q(MJ/m3) 10.98 Unoptimization Parameters Q(MJ/m3) 10.37 A Single Air Gasification Agent Q(MJ/m3) 5.11 (%) 5.88 (%) 114.87 The Table 5 shows that, in the experiment test, the biomass gas heating value of the optimization parameters is 5.88% higher than the unoptimization parameters, and the biomass gas heating value of the optimization parameters is 114.87% higher than when single gas agent is used.
(3) The experimental results of the nine operating condition are less than its numerical simulation results, the relative errors between experimental data and numerical simulation data are under 10%, which are belong to the range of allowable errors.

First, probabilistic cyclic stress-strain model and linear heteroscedastic probabilistic cyclic strain-life model are founded based on the fatigue test data.
The fatigue life follows lognormal distribution, the lognormal is often much easier to use, and some researchers found, more often than not, lognormal provides a better fit than the Weibull to real fatigue data[2].
This paper presents a probabilistic cyclic stress-strain model and a linear heteroscedastic probabilistic cyclic strain-life model[5] based on the fatigue test data of turbine disk material GH4133.
All the test data are between in the curves with μ = ±3, it was accounted for that Eq.11 could simulate the distribution of cycle stress-strain curve very well.
The probabilistic cyclic stress-strain model and linear heteroscedastic probabilistic cyclic strain-life model of GH4133 are founded based on the fatigue test data.

Despite this reduction, all configurations maintained a factor of safety above 1.2, indicating a globally stable structure.
Complementing these numerical frameworks, the shear strength reduction (SSR) technique has emerged as a standard approach for determining factors of safety in FEM analyses [7, 14, 16].
Numerical Study A topographic survey of the project site was conducted to establish elevation data for embankment construction.
The collected data were processed using Covadis software to analyze elevation variations and generate cross-sectional profiles of the terrain.
This principle forms the basis of the strength reduction method used in Plaxis 2D to compute the global factor of safety.