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The experimental data were analysed in term of diamagnetic susceptibility � DIA, corresponding to the condition MDIA= � DIAH, for evanescent magnetic field.
The solid circles are the data from the isothermal magnetization curves while the full squares are from the isofield curves vs.
As it appears from Fig 3a, the theoretical curves derived in this way fit well the experimental data.
A good agreement with the data (Fig. 3b) is noted also for sample (1) up to H≈Hup.
For field larger than Hup departure of the experimental data from the theoretical curves (in the inset) occurs, probably due to experimental subtraction procedure (on increasing field the paramagnetic term increases while the diamagnetic term goes towards zero).

Nowadays there are monitoring even more parameters with extreme environment sensors, integrating diagnostic and prognostic systems that turn data into explicit maintenance actions and monitoring into active management of system condition.
When machinery such as fans and motors run out of alignment, the resulting vibration leads to excessive wear and premature failure of parts and, ultimately, a resulting reduction in efficiency [9-11].
The vibration monitoring system acquires vibration data from an engine, and processes the data with advanced algorithms to determine engine component health.
Moreover a proper vibration analysis is possible when data are sufficiently reliable to use.
Thus the device used to collect data is important.

A diagram of force vs. absolute reduction ratio is shown in Fig.7.
Vickers hardness HV 0.1 Vickers hardness HV 0.5 1 433.2 402 2 408.5 402 3 385.0 412 4 365.6 401 5 384.1 400 6 385.8 416 7 419.6 406 8 397.2 419 9 384.1 406 10 390.0 413 Mean 395.3 407.7 Results obtained in the DMLS sample hardness test are consistent with data quoted by the manufacturer of the EOS Ti64 powder and do not deviate from generic data for Ti6Al4V alloy samples.
The deflection is recorded by a camera (data acquisition technology designed for the instrument) and processed by software algorithms which take account of the parameters of the optical arrangement of the system.
Following data acquisition and repair (i.e. making up for missing surfaces) in the acquired reference item image, the models were compared (the model image obtained by scanning was superimposed on the CAD model).
Material data listed by the manufacturer of the EOS Ti64 powder did not deviate from actual values reported in the course of the present study.

In addition, the relationship between the measurement data of this method and the motion accuracy of the five-axis machining center has not yet been clarified.
The NC program is created by applying form-shaping theory [3] without using a latest-tool-point control function or CAM software because the change in the feed speeds of the five axes can be analyzed in detail based on the created NC data.
There were two different mounting angles, i.e., 10° and 20°, because the NC data differs between the condition in which β is greater than θ and that in which q is greater than b.
This model is demonstrated to be able to express the quadrant glitch and the radius reduction in the circular interpolation movement [4].
In this simulation, the NC data, which expresses the ideal tool path Pi, is input to this model as shown in Fig. 3, and the deviation between Pi and Piout can be calculated based on the output data expressing the real tool path Piout.

The experimental data on the influence of an abrasive grain form on the operating characteristics of flap grinding wheels such as its cutting capacity and cutting force, the wear of a flap grinding wheel, the temperature in the cutting zone and the processed surface roughness are given.
Mathematical computer processing of the obtained experimental data was made using the software package STATISTICA 6.0 by means of stochastic modeling based on the multiple correlation method.
This software allowed automatic processing of the obtained experimental data and investigating the relationship between output parameters of the grinding process and the shape coefficient (Кf) of grinding grains.
The analysis of the obtained data shows that processing by a flap grinding wheel is characterized by low temperatures in the cutting zone, which is caused by the design features of this tool, small loads of the grinding process and a ventilation effect.
Borovikov, The statistical analysis and data processing in the Windows, Filin Information publishing house, Moscow, 1998

Embedding of the nanosized particles can influence the improvement of electrocatalytic properties of the composite coatings, corrosion resistance, durability, microhardness or shift the reduction potential of a metal ion.
The symbols are experimental data, the continuous lines denote the fitted data using CNLS method for one-CPE electrode model.
The symbols are experimental data, the continuous lines denote the fitted data using CNLS method for one-CPE electrode model.
The approximations of the complex-plane and Bode plots were very good and the continuous lines in Figs. 2 and 3 denote the fitted data using the one-CPE electrode model.
The result of the carried out approximation of the experimental ac impedance data using the one-CPE model with the following adjustable parameters were obtained: Rct, T, f and Rs (Tab. 2).

Smart grid is based on a distributed data transmission, calculation and control technology, as well as data and control commands between a plurality of power supply unit effective transmission technique [2].
Take a fixed two-way communication network, real-time data collected from smart meters reached the number center, it is the basis of all of the advanced applications
(3) Measurement Data Management System.
This is a database with the analytical tools, through use together with the AMI automatic data collection system, handling and storage of the meter's measurement value
Based on the wide-area measurement data fast transient simulation technology [J].

The tire model reads the tire property file to obtain data for calculating the tire forces and moments; it then calls the road model to evaluate where the road is in relation to the tire.
The road model reads the road property file to obtain data about the road.
The road property file contains data that defines the road surface and coefficient of friction.
As was previously mentioned, the numeric data used to create the virtual prototype were measured on a real vehicle, in the static equilibrium position.
Karimi: A data-driven approach to mixed-sensitivity control with application to an active suspension system, IEEE Transactions on Industrial Informatics Vol. 9 (2013), p. 2293-2300

The calculated data were compared with experimental results.
We have chosen the solid solution Ba(Ti,Sn)O3 (BTS) since its piezoelectric coefficients reach at least 30 - 40 % of the PZT data.
Furthermore, a non-zero electrical conductivity σk was included, which was significant for the description of the experi-mental data.
Fig. 7a shows the comparison between the measured electric fields during the poling of a bimorph sample and the data fitted in the framework of the model described above.
The satisfying coincidence between experimental and fitted data indicates the suitability of the poling model.

So the main part of the paper is to demonstrate the procedure of statistical processing of experimentally obtained data in order to create a prediction model and compare it with the theoretical calculation formulas.
The surface quality, dimensional and shape accuracy, efficiency, stock removal rate and production costs are primarily dependent on the input data of the cutting process relating to a workpiece: (material, machinability, shape, surface quality), operating conditions (feed, cutting speed, depth of cut), a tool (a kind of tool sharpening, durability) and a machine.
Mathematical and statistical methods make it possible to develop statistical models even based on a relatively large number of input data which in the process of metal working occur in a large number.
When evaluating experimentally obtained data and identifying the relationship of cutting conditions and morphology of the machined surface, mathematical and statistical methods, especially multidimensional statistical methods, are used.
The graph shows us that increasing the cutting speed leads to the reduction of investigated parameter Rz.