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Comparative analysis of test and calculated data for a weld size showed the model adequacy.
The results of calculated and test data are given chart 1 and figure 4.
Welded sample The calculation error of penetration depth in calculated and test data is 3-4 %, weld reinforcement – 6-7 %.
Chart 1 - Calculated and test data of weld size № Welding conditions Weld size, mm Calculation error, % I, А U, В f, Hz L, mm V, mm/s h e g Δh Δe Δg calculated data test data calculated data test data calculated data test data 1 45 16 120 125 3,31 1,45 1,48 0,37 0,39 0,26 0,27 2 5,1 3,7 2 42,5 22 120 125 3,29 1,65 1,71 0,84 0,82 0,25 0,24 3,6 2,4 4 3 42,5 24 120 125 3,28 1,71 1,61 1,15 1,11 0,26 0,24 5,8 3,5 7,7 4 40 18 120 125 3,30 1,52 1,57 0,30 0,28 0,27 0,26 3,3 6,6 3,7 5 42,5 16 115 130 3,31 1,45 1,48 0,34 0,33 0,20 0,21 2,1 2,9 4,7 6 42,5 18 115 130 3,29 1,52 1,51 0,52 0,54 0,22 0,21 1 3,7 4,5 Computer application “Calculation of sheet metal weld dimensions” is shown in figure 4.
The calculation error of penetration depth in calculated and test data is 3-4 %, weld reinforcement – 6-7 %.

The method effectiveness has been proved by experimental data analysis.
The EMD is driven by data itself and belongs to the time field method.
The new data series h1(t) can be obtained by subtracting the average envelope curve m1(t) from original data series X(t).
(5) The new data series R1(t) can be gained by subtracting C1(t) from X(t)
Thirdly, considering of end effect，the middle and no contamination part of the IMF data series are intercepted as the effective data[4].

Pre-processing Data: The data pre-processing process begins by cleaning the obtained data from noise or dirty data that could compromise the outcomes of the machine learning model design.
Data Classification: The final process is data classification of the vibration data that has been collected using accelerometer.
Data Classification.
This is evident from the testing data, which accounts for 25% of the total data, or 13 data points from each road condition label.
Herrera, “Data Preprocessing in Data Mining,” 2015.

Treatment regimes No.1, No.2, No.3 correspond to the data of the table 1.
Distribution of temperature in the cross-section of the specimens for corrosion and tensile testing during PEC treatment according to the regimes No.1 to 4 and Fig. 6(b) showing the surface temperature growth kinetics for specimens under PEC treatment according to the regimes No.1 to 4 in comparison with the data registered in Table 1.
As a result, all the necessary conditions for realization of the above-mentioned mechanisms of RS reduction under PEC treatment take place.
Therefore it is proposed that a stress state homogenization was induced by PEC treatment as a result of a reduction in the surface tensile RS.
Finally it can be supposed that the main mechanism driving the reduction in the corrosion rate of St3SX reinforcing steel in the present investigation is a surface stress state homogenization as a result of PEC-induced reduction of the surface tensile RS.

Nanchang, Jiangxi, 330034, P.R.China email:chuntaoji@hotmail.com Keywords: aluminum, electrode displacement, electrode force, nugget size, data acquisition.
Data were collected via a multi-channel high speed data acquisition system, and were analyzed with MATLAB.
Data acquisition The data acquisition system is composed of transducers, a signal conditioner and a computer.
Once it is conditioned, the data acquisition hardware (a DAQ card in the computer) converts the analog signal into digital for use by the computer.
Force:1300lb The drop in electrode force after peaking during welding is believed to result from the reduction in the overall stiffness of the sheets between the electrodes after the weld region experienced plastic deformation.

An in-depth understanding of the impact of laser conditions on these stages is achieved, based on electrical data, Raman spectroscopy, optical microscopy, Scanning Electron Microscopy (SEM) and Scanning Transmission Electron Microscopy (STEM).
In this low ED regime, Raman spectra confirm the SiC decomposition onset, with the appearance of graphite related peaks (data not shown).
Thus, both the use of a heated chuck and several pulses at the same location enable a reduction of the required ED to get a specific microstructure.
In addition, Ni thickness reduction and/surface preparation could possibly open new options for contact formation.

Fig. 3 The input data.
The network learn by the learning data sample included input data and output data, in this learning process, each connection weight and the output value of each unit are changed to improve the accuracy of the model.
The BP NN learning data is derived from the Xuzhou GCL PV power Co., LTD.
The number of input data is shown in Fig. 3, and the Fig. 3 is explained in Table 1.
Input data Table 2.

Nominal data of the test part can be obtained using a coordinate measurement machine.
Therefore, the test part has to be designed to allow an easy data capture of the MT; taking into consideration the different kinematic models used to improve its accuracy.
In addition, a series of conical holes are strategically located along the surface to improve data capture and errors identification.
Tests Results A synthetic data simulator was used to validity the adequacy of the design parts, and its adequacy to applicate on it several verification methods.
The error reduction achieved in this case is 57% in the maximum error, 74% in the mean error and 90% in the minimum error Fig. 8 shows the colour map when the verification is performed using only the data of the pyramid cones Fig. 8a, and the reduction of the error after identification Fig. 8b.

The proposed method is divided into three modules: data acquisition, censor phase and monitoring phase of NSA.
The sensing module is carried off-line and used to generate the set of failure detectors that will be used in the monitoring data.
Applications and Results In this section we present the results obtained with the application of the SIMS data base simulated.
In Table 2 presents the results obtained by the system health monitoring of structures when applied to data of the aluminum beam.
The effective management and use of structural health data.

Network data sending flow chart as shown in figure.3.
Send data to all the node.
Data check is conducted After final package is sent out.
Capture data display Through many times test data packet capture, packet loss rate is very low, the network transmission is efficiency and stable.
Motioncompensated temporal prefiltering for noise reduction in a video encoder .