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The experimental data analysis method was used in this paper.
The measured data in the assembly process was collected, and cloud model theory [23] was introduced to build the assembly cloud model for the data analysis and mining.
Step2：Original measurement data was expressed in concepts.
Data is processed applying cloud generator maximum determinant method.
For the 28 sets of data, decision table after data processed is shown in Table 3. 0 indicates that the data does not belong to the concept and one denotes that it belongs to the concept.

The extracted signal wavelet noise reduction and information fusion, which more accurately extract the signal feature information [1]. 1.
Assumptions and are discrete sequence on direction, using the data-level data integration method, order, what is an imaginary number, which get a discrete fusion complex sequence, Fourier changes to it, so that (1) The formula: respectively is the real part of sequence and the imaginary part of sequence.respectively is the real part of sequence and the imaginary part of sequence.respectively are the radius of Positive precession circle and the radius of anti-precession circle.
Time-domain diagram of signal bearing Using the one-dimensional wavelet, and signal noise reduction based on wavelet default threshold selection rules.
Accordingly, after the noise reduction signal to the Fourier transform, what obtain the frequency domain as shown of Figure 7.
The vector amplitude figure of full noise reduction signal vector wavelet noise reduction 3.

Multi-body Dynamics Analysis of V-type Diesel Engine Crankshaft Wang Ranran1,a, Xu Yanming2,b, Teng Xianbin3,c 1English Teaching Department, Tianjin Maritime College, Tianjin 300350 2Marine Engineering Department, Tianjin Maritime College, Tianjin 300350 ahuangmao818@163.com, bxym4800658@163.com, ctengxbin@163.com, Key words: Crankshaft; Modal reduction; Multi-body dynamics; Dynamic characteristics Abstract.
First, by 3d software and finite element software to establish the multi-body dynamic models of the crankshaft, bearing and piston, then simulated the actual engine working condition, and got the data such as crankshaft acceleration, velocity and displacement by the multi-body dynamics simulation analysis.
With the model completed above and importing related parameters, the connecting rod generates model automatically by software based on the related data. 

This research, therefore, aims to examine the effectiveness of related policies in reducing greenhouse gas emission in the country’s home heating sector through scenario analysis on the greenhouse gas reduction in home heating sector.
The data required most for the estimation, therefore, are: (1) present state and future projection of home energy demand per energy source; (2) greenhouse gas emission coefficient of each energy source per usage.
It was confirmed, however, that KEPCO does not keep data on the share of each energy source employed to generate electricity for home use.
For greenhouse gas emission coefficient per energy source required to total estimate greenhouse gas emission, data of the Ministry of Environment and National Institute of Environmental Research was employed (Greenhouse Gas Emission, 2009).
Greenhouse Gas Emission Conclusions This study is aimed at analyzing the effect of reducing greenhouse gas emission by using a scenario in greenhouse gas reduction in home heating sector, with its conclusion as shown below: 1.

The cone data reported here are obtained by burning samples in the horizontal position with an exposed surface of 100×100 mm2 and are the average of two or three replicated samples.
The peak heat release rate is reproducible to within ±10% and the time to ignition data is reproducible to within ±15% [6].
This reduction in the degradation temperature was not expected because Mg(OH)2 is thermally stable up to 330-340ºC [7], and will be explored by further experiments.
Comparing all the nanocomposites with pure epoxy resin, it is possible to see that there are important reductions in HRR for the whole amounts of nano-Mg(OH)2 used.
The reductions in PHRR were about 33% for 10% nano-Mg(OH)2, 22% for 5% nano-Mg(OH)2 and 23% for 1% nano-Mg(OH)2.

Based on the extensive collection, the full analysis of existing survey data and survey results, there are many factors beyond our control.
The mainly water environment issues in Feng Zi Jian water environment branch system are: the destruction depth of the groundwater recharge, runoff, drainage system, reduction of surface water, surface water pollution, reduction of groundwater reserves, decline of groundwater level, groundwater pollution and so on.
According to the relative importance, it gives criterion layer the corresponding weights [6]. 1.Water environmental problem: (1).Select the reduction of surface water, destruction depth of the groundwater recharge, runoff, drainage system, groundwater pollution, reduction of groundwater reserves, surface water pollution as the water environment evaluation factors in valley, and construct the judgment matrix A1
(2).Select destruction depth of the groundwater recharge, runoff, drainage system, reduction of groundwater reserves, reduction of surface water,groundwater pollution, as the water environment evaluation factors in steep (cliffs), and construct the judgment matrix A2
Conclusion Based on the task 《the assessment of Coal Spontaneous Combustion influence on terrain in Shanxi province》,with AHP, combining with remote sensing interpretation technology, According to the collection of existing data in exploration area and the validation of the actual field data, make evaluation on the quality of water environment in Feng Zi Jian mining , and the evaluation can respect the actual situation of local water environmental quality , get the best evaluation results.

Detect the residual quantity of Re (Ⅶ) at the first, third, sixth, and seventh day, all the data are listed in tab3.
From the data above, a relationship between the reduction of ReO4- and the initial content can be obtained as followed fig5.
From the data above, another relationship between reaction time and reduction of ReO4- iron can be obtained as fig6: Mark C1（μg） as the initial content of ReO4-, C1（μg） as the residual quantity after 24h reaction time, C2（μg） as the residual quantity after 3×24h reaction time, C3（μg） as the residual quantity after 6×24h reaction time, C4（μg） as the residual quantity after 7×24h reaction time.
Table 4 The results of column text initial content of ReO4-/μg 30 60 90 Without ZVI With ZVI Without ZVI With ZVI Without ZVI With ZVI leaked solution/ml 84.7 78.6 91.2 110.6 118.7 120.2 absorbance/A ∞ 0.807 ∞ 0.943 ∞ 1.092 Residual content/μg 0.35883 0.59 0.74253 Removal rate/% 98.81 99.01 99.17 From the data listed in tab, the final mean removal rate of ReO4- is 99%, as same as the result from batch text, which shows the sound removal effect of ReO4- is very stable.
What’s more, the reduction in pillar text is more efficient within less time.

The gradation is made from the condition of the reduction of metal viscosity in the overheating zone, determined by the magnitude of the impact of Sharpy samples at the temperature of 40 °C below zero.
The concept of pipe steel development adopted in Russia provides for the reduction in carbon content; increasing the purity of the metal by harmful impurities (S≤0.001 %, P≤0.010); rational micro-alloying; thermo-mechanical rolling [6].
Minimum values of the impact of a metal of coarse grain area of HAZ (lower envelopes) depending on the number of reheats and linear energy The data obtained show that the studied steels of K70 (X90) strength class must have appropriate limitations when applying repair technologies based on heating by an electric arc.
The obtained test data allowed the gradation of the investigated semi-finished products according to their repair ability, i.e. by the number of permissible repeated local heating of the material of parts during repair (Table 2).
In addition to the reduction of heat input, one more technological technique should be pointed out, which allows avoiding overlapping of superheat sections during repeated heating, which is quite simple in its design to avoid overlapping of superheat sections on each other.

Comparison with the results obtained by the strength reduction FEM proposed by AcademicianYingrenZhengshows that the proposed method is more simple and reasonable to determine slope stability or not.
During modeling, under the premise of not affecting the calculation results, simplifying the slope lineappropriately.At the same time, because of the relative lack of drilling data of the slope, when modeling considered that the most dangerous situation, namely thought the marlstone dissection links up continuously in the analysis section plane.
The stabilitycoefficient analysis using finite element method The stabilitycoefficient of basic operating condition.The comparison of using gravity load ratio method to calculate the slope stability coefficient and the results obtained by thestrength reduction FEM is showing in Table 2: Table2The contrast table of stability coefficient Calculation times Safety coefficient Gravity Loading Proportion Method 1 1.21 Strength reduction method 7 1.1963 Contrasting two kinds of methods can explain the science, simplicity and rationality of the Gravity Loading Proportion Method Evaluation of slope stability.According to the slope geological survey data and the results of slope safety coefficient calculation, the following conclusions can be drawn: 1 - 1 profile basically stablein natural condition, but the safety coefficient do not meet the requirements of specification.
Conclusion Given the steps and implementation process of the ADINA software platform of the Gravity Loading Proportion Method, this paper comparedwith the stability safety factor of the strength reduction FEM, finally drawnthe conclusion of whether the slope stabilityor not.

The use of this tool leads to a reduction in the amount of initial material and as a result - cost saving.
Optimization of the initial model allows to achieve a significant reduction in the weight of the part (also a reduction in the consumption of the raw material for its production) while preservation of the required strength characteristics of the part, as well as strength characteristic (and sometimes improving) of the optimized model as compared with the original one.
As can be seen in Fig. 3, and the quality of the computer 3D model is very rough, obtaining a high-quality computer model requires a product redesign taking into account the obtained data of material distribution in the process of topology optimization.
In fig. 4, the final 3D model is reprojected taking into account the data obtained in the process of TO.
Also one of the effective methods of weight reduction for such lightly loaded parts can be the use in the design of cellular structures.