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The paper presents the data and main results of an experimental research on the influence of some relevant process factors on the geometric characterisctics of certain metallic structure in industrial conditions including welding robot and advanced measurement system.
The geometric deformations of the considered welded metallic structure demonstrate the relevant action of some process factors; the deformations start with the welding process and continue during cooling process, with a relevant increase when the fixing of one component ceases; the welding gap improves significantly the welding-cooling conditions, with an important reduction of deformation level.

By analyzing the measured data of subsidence range of Xishimen mine, the height of critic bulk solid column relates to stability of rock, sidewall angle of goaf, internal friction angle, and rock loose coefficient.
In the general layout optimizing, production safety control, production cost reduction of deep mining, prediction of subsidence area is important.

Some practical recommendations of the new experimental data processing and interpretation by pH metry used for the assessment of moisture absorbing power of powdery substances are developed.
The reduction of accessible surface and the level of volume filling of adsorption space of the oxide-metal pores with water molecules leads to the surface hydrophobization.

Data of the BSS The dimensions of the BSS is shown in fig.1, upper chords (beam) and end vertical members both adopt box section beam of 500×300×12×16, struts adopt circular steel tube ofφ121×4.5, and lower chords (string) adopt SNS/S-5×55 cable.
The model can consider both material nonlinearities and geometrical nonlinearities and temperature-reduction method is used to simulate prestressing, main nodes of the model are shown in fig. 1.
The displacements in plane of main nodes are listed in table 1, and the data indicate that initial imperfections slightly decrease the stiffness of BSS in plane so that absolute values of the displacements in main nodes in x and y direction increase, in comparison with case (1), no initial imperfection, but the influence is not significant.
Fig. 5 Plastic zone of mid-span cross-section of upper chord Analyses of influences in stage of use The roof of engineering uses double-layer metal plate, constant load is 0.4 kN/m2, live load is 0.5 kN/m2, and the displacement data are listed in table 4.

Among the advantages of this new structural composite, the FRP jacket can substantially enhance its load carrying capacity, chemical resistance and ductility, with considerable reductions in construction weight, cost and time [2].
These experiments were unexceptionally completed at Structural Testing Laboratory, University of Maine, where various full-scale structural tests were performed and large amounts of useful test data were obtained.
The results from analytical means correlate well with the test data as shown in Fig. 2b.
The relative error between the above data is less than 3%.

Table 1 Actual disk cutting technological parameter (material Q235) Plate thickness[mm] 10 12 14 16 18 20 22 25 28 30 The amount of overlap[mm] 3.5 4.5 5.3 6.5 7.0 8.3 9.5 11.5 13.5 14.0 Shear lateral gap[mm] 1.7 2.0 2.3 2.6 3.2 3.6 4.0 4.5 4.8 5.0 From the fig1 we can make the conclusion that when cutting the plate, which material are the same, but thickness are different , to realize the disk shear cutting technological parameter fast initial setting, make use of the Matlab software basis measured data carries on the multinomial curve fitting .
The function which to shown in Fig.1 and Fig2, leads the measured data the function which each fitted curve corresponds to carry on variance analysis one by one, analysis result demonstration linear function is most ideal, so cuts the amount of overlap mathematical model and disk lateral gap mathematical model with above measured data correspondence's disk is: Fig1 The multinomial curve fitting of Fig2 The multinomial curve fitting of plate thickness and the knife overlap .
The two indicators reflect the material is plastic elongation and area reduction rates， they can be transformed into each other.

First of all, an initial curve C is given, and then an energy functional is obtained according to image data and target features.
The last term of E is called the data fitting term which drives the evolution curve move to the bright area.
Different from edge detection operator algorithms and popular line detection methods, our algorithm utilizes the image data and the target features to establish the energy functional and drive the initial curve to the laser line.
[4] Chang H D, Shi X J and Glazier C, Real-Time Image Thresholding Based on Sample Space Reduction and Interpolation Approach，Journal of Computing in Civil Engineering, ASCE/October, 2003

The above coherency-based equivalent method need lots of computations and should face the difficulty to know complete data about the system.
Then the sample data are processed by different statistic methods to determine the model parameters.
Because of the wind fluctuations, the complicated control strategies of wind turbines, grid disturbance and lack of operating data of wind turbines, there are many difficulties in the equivalent studies of wind farms.
Dynamic reduction of large power systems for stability studies.

Removal of cladding increases the number of propagation modes in sensing element while reduction of fiber core decreases the propagation modes.
The mould was vibrated for 15 seconds by hand and data recording/monitoring system was started immediately.
The data-acquisition system matches the phase between the transmitting light and receiving light, and removes the noise generated by laser source, photo-detector and amplifier.
The data of air was recorded before specimen was poured into the mould.

Before pick up the frequency domain feature, using wavelet packet to decomposed the vibration data.
Select the db3 wavelet to be the wavelet Function, decomposition layers are 5, so when vibration data in 5 layers decomposition, will produce 25= 32 frequencies, As the sampling frequency is 10k, then the vibration data is represented by the frequency range from 0 to 5120Hz (according to Nyquist Frequency Shannon, 10240 / 2 = 5120).
Figure 5 shows the original signal without noise reduction and energy spectrum of the reconstructed spectrum.