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On the software side, gives the effect of a schematic diagram of a data processing program, summed up the real-time data acquisition methods section.
Theory and Design of System Now PLC control and PC data processing, control has been done in this area is relatively mature.
There are many ways to achieve the I/O port serial data communication, and can be very handy for graphics processing, the data is saved.
And can generate test reports, test personnel to facilitate the processing of the data.
Conclusion Software monitoring system records returned by each node monitoring data stored in the database, easy access to each node monitoring data history.

The main idea of the algorithm is firstly to look the first data as a first cluster center, and further to detect the distance d from remaining data points to the cluster center.
If d is less than a predetermined value T, the data is added to this class.
Otherwise, the data is set as a new cluster center until all the data are classified.
The formation of clusters of data on behalf of a class avoids the unicity of the data in class representation and greatly improves the accuracy of data collection when system retrieve the matching operation by center point of the data set.
Clustering analysis based on attribute reduction[J].

The test results achieve the predicted effects with acquisition, processing and analysis numerous data.
Real-time cross-correlation algorithm The real-time correlation detection is achieved, the details are as follows: (1) In the system for machine abnormity detection during mass production of CNC machine tools, firstly normal machine power signalwill be sampled, at a sampling rate of , number of sampling points is , forming the length of sampling sequence , take the sampling with the same sampling interval , real-time power , we only need to record the first real-time power, expressed by , where .(2) To determine whether the number of elements in sequence is or not, if the elements are not enough, returning to Step 1 to continue collecting data, when the number, is enough, get out the first data of and multiply with the data of ,the corresponding .Results are: ; ;;......the results of will be stored in main register.(3) Add the new multiplication result obtained from Step 2 to the last accumulated value of the corresponding term in the register.
It is shown from the amplitude, frequency, phase data on the diagram of frequency spectrum that wavelet decomposition and reconstruction has good linear phase characteristics.
Study on Selection of Wavelet Adaptive-Threshold and Method on noise reduction.

The results indicate that it is significant to reduce the peak values of specific loudness by using this control strategy, and then the reduction in loudness of noise is up to 1.5 sones.
The data in Table 1 show nearly similar loudness values for pure tones at 1 kHz.
It can be seen from the data in Table 2 that the deviation values of loudness calculated by the two self-developed computational procedures are larger as the SPL of pink noise.
The data were further analyzed by using the method of making maps, shown in Fig. 1.
The following step is to take advantage of ANC with filter-x least mean square (FXLMS) algorithm in order to selectively control noise and attenuate the peak values with corresponding to critical band, and also to attempt to achieve noise reduction.

Tikalsky et al. completed a study on different binary and ternary based HPC mixtures electrical resistivity testing and found that resistivity data is well correlated with RCPT data for different binary and ternary based HPC mixtures.
That resistivity data can be utilized to compute the diffusion coefficient of HPC mixtures [11].
The readings are obtained twice by swapping two ends of the concrete cylinder within the clamp attached with the electrode plates and the data logger attached to the computer records the bulk conductivity data.
Altogether 8 data points are obtained for each concrete mixture (2 data points from each cylinder).
First group consists of the measured diffusion coefficient data in Table 1.

The use of FLC could avoid the problem of seeking out appropriate mathematical relationships, since the model is obtained directly from input–output data without any knowledge of internal system parameters.
GA offers easier starting inputs estimation and only the best (high fitness value) of the population will be selected for crossover and mutation processes to form the new data population in order to avoid falling into a local minimum.
The result is verified by the finite element method and has shown a 90% reduction.
Hybrid AI also plays a significant role in modelling such as in [18] where experimental data approximation and "maps" of flux distribution, including non-sinusoidal flux distribution and saturation, are modelled.
Serra: Reduction of the Torque Ripple in Permanent Magnet Actuators by a Multi-Objective Minimization Technique.

The instrument has a computer data processing system Thermogravimetry-differential thermal analyzer combined thermal analyzer, the thermobalance accuracy is 1μg, maximum sample weight 2000mg, temperature measurement range is from 293K to 1623K, the heating rate is 30 K/min, gas flow rate is ≤100ml/min, experimental atmosphere is nitrogen.
The specific data setting is shown in Table1, experimental conditions are in accordance with the experimental samples of different particle size, different frequency and the different power of the ultrasonic radiation, the ultrasonic radiation time is 90 seconds.
The conversion method is to obtain the excess water before ultrasonic radiation is 5.74%-3.10%=2.64%, a corresponding total moisture content reduction is 100%-2.64%=97.36%.
Table 2 Proximate and ultimate analysis of samples Mad (%) Vad (%) Qb,ad (MJ/kg) Cad (%) Had (%) 200M,800W,20kHz 3.10 19.03 5.86 12.84 2.25 200M 5.74 19.12 5.36 12.57 2.17 200M(conversion data) 3.10 19.64 5.36（No conversion） 12.91 2.23 Analysis of experimental results Analysis of experimental sample and its industrial analysis results and elemental analysis results The larger particle size 20M of oil shale completely become smaller particle size after ultrasonic radiation experiment.
Volatile content reduction of oil shale after ultrasonic radiation which means that ultrasonic can be able to decompose the organic matter of oil shale solution.

In order to obtain quantitative data for comparison, numerical modeling has been employed.
Results and Discussion Based on numerical simulation data and according to the comparative procedure steps, the following analysis of the alternative versus conventional designs of SiC PVT bulk growth reactors is concluded.
Otherwise, the recrystallization layer would partially or completely block the source-seed SiXCY mass flux, leading to growth rate reduction below acceptable levels.
Furthermore, only the crystal backside temperature profiling (reduction) can prevent the growth rate from decreasing to zero [4, 14] as the ingot length reaches its upper limit.
data obtained from numerical modeling of the reactors being compared.

The results of the mechanical tests (YS (yield stress), TS (tensile strength), A (elongation), RA (reduction in area) and KCV are given in Table 2, together with the values of the HTMP parameters.
Х3 = (vcool - 16.8) / 8.4 where Y1 : yield strength; Y2 : tensile strength; Y3 : elongation; Y4 : reduction in area.
VAR4 (Casewise deletion of missing data) Fig.2.
Decreasing the number of passes from 5 to 3 is accompanied by a small reduction in strength - on average 20% - 25%.
It must be pointed out that the lower bainite structure formed after phase transformation shows evidence of inheriting the fragmented hot deformed austenite, according to the data in 7 - 8.

It prevents chromium oxide reduction by boron carbide in the presence of carbon.
Phase composition of the products of the interaction of boron carbide with chromium oxide according to the data of mass spectrometric and X-ray phase analyses.
According to the data of X-ray analysis (Table 1, mixture 2), the interaction of the components begins already around 700 °C, where the presence of B2O3 and B8C phases in solid products indicates the participation of both C and B in the Cr2O3 reduction process.
C in mixture 5 also causes the reduction of oxide, as evidenced by the release of CO already at 980 °C and the formation of the Cr7BC4 phase, as in mixture 2.
However, in the Cr2O3-B4C system, chromium carbides are present as intermediate phases up to 1400 °C, while in the Cr2O3-4B-C system, they are no longer detected above 1300 °C, which is in accordance with the previously obtained data [9-11, 15, 17].