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Introduction Because of their compact size and high reduction ratios, harmonic gear drives are often favored for robot system, communications satellite and automatic weapon as well as other high accuracy positioning system.[1,2] Harmonic gear drives inevitably have vibration and noise, with the effect of nonlinear factors, which affect their performance.[3,4] Therefore, the analysis of the nonlinear influence in dynamic behavior of harmonic gear drives has been widely concerned.
The function of nonlinearity torsional stiffness is obtained by fitting the torsional experimental data.
Figure 1 Torsional stiffness experimental setup Figure 2 Experimental data and fitted curve The data of angular displacement obtained from ten tests with varying torque are shown in Fig. 2.

Those include fixture error, machine tool error and datum surface error [1].
All these results are based on an assumption that there is a fixture error corresponding to the machine tool error and datum error.
And withis the fixture error, and are the equivalent fixture error transformed from machine tool error and datum error, separately: and , (2) wherewith is the coordinate of the locator of fixture, is the machine tool error and is the datum surface error.
It is noted that similar results can be easily obtained on the datum variation.
Huang, Reuven Katz, Multi-operational machining processes modeling for sequential root cause identification and measurement reduction, Transactions of the ASME. 127 (2005), 512-521

At the same time, CAM technology has been asked for higher requirement due to the application of new material and new tools, the continuous development of NC machining and cutting theory, and the increasingly pursuit of high product quality, low cost and manufacturing cycle reduction.
The bottom half content of Fig. 7 dialog box represents all the data base of parameter setting buttons in UG programming.
You can move the content from data base on the current panel or move the content back to the data base by the upward or downward arrow in the middle.

Fig.2 The mechanical model of honeycomb paperboard Test results and analysis. 20mm thick honeycomb double layer of data is shown in table 1.
By Eq.2 we can get the damping ratio of honeycomb . 40mm thick honeycomb double layer of data is shown in table 2.
With single-layer honeycomb vibration were observed and compared the experimental data shows that, with the honeycomb thickness increases, the transmission rate of vibration reduction and damping ratio increases.

Application of Wavelet Transform in Image Preprocessing Wavelet coefficients can be used to describe the image data after wavelet transform.
Wavelet coefficients reflect the nature of the original data, local characteristic of image data can be changed by handling the wavelet coefficient[4].
SIFT feature matching method itself has a strong matching rate and noise reduction effect, the article make a further improvement on this basis.

The establish of the grey prediction model Deformation observation points are n interconnected on a deformable body,the deformation observation data of M Period, the deformation observation sequence corresponding to:{xi(0)(k)}（k=1,2,Λ,n）, the primary accumulating generating sequence is , in the formula, k=1,2,Λ,m；i=1,2,Λ,n.
For the sake of model parameters A and B, the type 1 discrete valuation, and obtained by the least square method: (3) in the formula: ，， inside: () It can be gotten the identification values of A and B from type 3 matrix: (4) The formula (2) in discrete model: (5) in the formula: ,the formula (5) as these reduction, there is, (=1，2，3，) (6) When km, is predicted value.
Conclusion This paper takes MATLAB as the working environment, to realize the modeling of grey model, and taking Shenyang subway station in Xinle Site ground subsidence monitoring data as an example, verify the multi-point grey prediction model to meet the requirement of accuracy. 
Make sure the latest data in modeling, try to make correction parameters in each prediction step, the accuracy of model will be more accurate.

Measurements of instantaneous speed, acceleration, deceleration and route tracking data were undertaken to develop the investigation.
Analysing statistics of data received from the police the positive influence of changes in road infrastructure on driver’s behaviour and number of road incidents is visible.
These unexpected data gained for roundabouts pushed to carry out further investigations of drivers’ behaviour within an intersection environment in terms of speed in approaching sections.
The data were collected by utilizing GPS data logger which allowed to monitor and record second-by-second in-field vehicle position and speed along the tested sections.
Some data was removed unwitting speed reduction due to the presence of other road users.

So this paper, based on the relevant statistical yearbook data, will systematically evaluate the new pattern of Heilongjiang province’s manufacturing industry from three dimensions, including economy, technology, and environment, respectively.
Factor analysis is a multivariate analysis, a statistical method of dealing with dimensionality reduction.
After identifying the research methods, SPSS16.0 is used in factor analysis of the collected data.
The related data of the manufacturing sector in Heilongjiang province from 2007-2011 is analyzed using the factor analysis method.
When all data were considered, the contribution rate of accumulative total of variance of three factors in Table 8 is 98.283%.

The above contents show that the study on heat transfer and pressure drop for fluid in spiral coil mainly focused on numerical simulation, the experimental study of this problem is very limited and very few experimental data was obtained.
In this paper, the experimental study on heat transfer and pressure drop characteristics for water flowing in different spiral coil heat exchanger was conducted, and many heat transfer and pressure drop data were obtained, this can provide reference for optimization design of spiral tube heat exchanger, and has certain guiding significance for energy-saving operation of the air conditioning, heat pump system.
T1, T2—the water temperatures at the test tube inlet and outlet; T3, T4—the wall temperatures at the test tube inlet and outlet; P—the water pressure at the test tube inlet; ΔP—the water pressure drop through spiral coil 1, 2—valve; 3—steady head tank; 4—float flow meter; 5—pump; 6—DC source; 7—power meter; 8—voltage regulator; 9—spiral coil heat exchanger; 10—insulation layer Fig. 1 Schematic diagram of the experimental facility (a) ellipse spiral coil (b) circular spiral coil Fig. 2 Characteristic geometrical parameters of spiral coil Table 1 Details of spiral coils used in test section（mm） Spiral coil shape Type Outer diameter Inner diameter A B C D Ellipse SE 16 14 533 220 80 52 BE 16 14 593 220 80 52 Circular SC 16 14 200 - 122 97 BC 16 14 295 - 116 89 Data Reduction The heating power in test section can be obtained by the power meter in circuit, because the test section was wrapped by rubber
(2) where the coefficient C and the exponent a can be obtained by fitting the experimental data.
Data Reduction The influence of Re on Nu is investigated.

Having these data the procedure is simple.
By defining the confidence interval of the data at given percentiles, the requirement can be defined so that a given percentage of buildings – e.g. 90% – will fulfil it.
Certainly the collection of data for a thorough statistical evaluation would be very time consuming, the sample is to be randomly generated instead.
Selecting a huge sample from the existing building stock does not guarantee that the statistical evaluation will be reliable, not mentioning the time-consuming data collection.
The detailed data of the components of the energy need show that if we have a high quality building envelope and mechanical ventilation with heat recovery, the domestic hot water supply becomes the key issue.