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The main idea is to approximate the machined surface using the inspection data and the basis functions of the nominal NURBS surface and to get the error distribution of the surface.
Many researches have been carried out on the compensation of machining errors using the OMM data.
Cho[1] presented an integrated machining error compensation method using OMM data to effectively reduce the machining error in the end-milling process.
The machined surface (Sm) can be approximated by adjusting the parameters of the nominal surface (Sn) according to the database measured by on-machine probing (the simulated data is used here).
Cheng, Integrated machining error compensation method using OMM data and modified PNN algorithm, International Journal of Machine Tools and Manufacture, 46 (2006) 1417-1427

The development of the Friction Stir Welding (FSW) process and its application to aluminium alloys open new opportunities for obtaining high quality joints also on particle-reinforced aluminium-based composites, but relatively few literature data are present on this topic [2-4].
Fatigue life data and Manson-Coffin curves for the base and friction stir welded W6A10A and W7A10A MMCs. 0.001 0.010 10 100 1000 10000 24 Cycles ∆ε/2∆ε/2∆ε/2∆ε/2 W6A20A W6A20A FSW MC W6A20A MC W6A20A FSW W7A10A W7A10A FSW MC W7A10A MC WA710A FSW increases the strain hardening exponent and the elongation to failure.
The experimental results of the low-cycle fatigue tests and the interpolation of the data according to the classic Manson-Coffin model [6] are reported in Fig. 5.
The experimental data show a high dispersion both on the base and FSW specimens, which can be related to the intrinsic material in-homogeneity typical of composites produced by molten metal processes.
However, in general, the lower fatigue life of the FSW material could be related to the microstructural modifications induced by the process, which also led to a reduction in hardness and tensile strength, but probably the main influence in the fatigue life reduction is the high roughness induced by the FSW, mainly on the surface in contact with the tool (Ra=3.5÷5.5 µm).

In this work the correlations of the Nusselt number from various references is examined and compared with experimental data.
For this study various empirical relations are analyzed to determine the Nusselt number and compared with experimental data.
For study of growth frost will be analyzed empirical relations and compared with heat transfer coefficient data.
Figures 4 show the calculation of heat transfer coefficient using experimental data.
The numerical results using the correlations are compared with the experimental data.

The models are compared with the experimental data collected from ultrasonic bone cutting experiments.
Although the proposed cutting mechanism is supported by the data, the blade gain is insufficient to enable through cutting of long bone or other difficult to cut materials.
The bone specimens were assumed to be isotropic and the mechanical properties were determined from experiments and previously published data [7].
Using an average of the experimental data allows a single K1C value to be adopted for FE simulations but with the consequence that the results can only be described as typical of bone and cannot be directly compared with a particular set of measured data.
Fig. 2 (a) FE model of CT specimen; (b) Experimental and FE data of ultrasonic cutting amplitude for CT specimens under different static loads Although the blade initiated a crack in the specimens for all the experiments, the data with no applied static load, P, were achieved experimentally by using the blade at the limit of its amplitude capability.

However, no data on the dried okra property are available.
No data on the dried okra property are again not mentioned.
An analysis of variance (ANOVA) was used to analyze the experimental data.
Table 1 Moisture content and moisture reduction of the okara.
Moisture reduction [% d.b.]

., LTD, China a 310177194@qq.com, b liusanmingxyx@163.com, c lvyonghai86@126.com d zouyang@shanghai-electric.com, e 644526998@qq.com Keywords: Safety evaluation；Multi-scale；Noise reduction； Hilbert transformation；Fault diagnosis Abstract.
In the process of fault diagnosis method based on multi-scale wavelet decomposition reconstruction and the Hilbert transformation, firstly, the wavelet noise reduction approach was used to filter out the noise of the vibration signals.
Fig.5 high-frequency reconstruction figure was gotten through using Multi-scale wavelet decomposition on pure vibration signals after wavelet noise reduction.
Engel, and WGui, Survey of the application of basic data-driven and model-based methods in process monitoring and fault diagnosis, in The 18th World Congress The International Federation of Automatic Control.
Wind turbine condition monitoring based on SCADA data using normal behavior models.

It is important to mention that experimental data were fitted to a modified Cross model (Eq.1) [16].
To better understand how sodium tripolyphosphate effect on the thixotropy of dam sediments, the area between the upward and downward curves is determined using the data analysis of the Trios V4.2.1. 36612 of TA instrument.
Impact of Sodium tripolyphosphate on reduction of friction factor of the dams sediments.
Figure 8 shows the impact of Sodium tripolyphosphate on reduction of friction factor of the dam sediments.
Sasmito, Pressure loss and friction factor in non-Newtonian mine paste backfill: modelling, loop test and mine field data, Powder Technology. 344 (2019) 443-453

The performance gasifier design will later be tested for performance and be used to measure data experimentally.
The postulated model is then derived to obtain an equation that will later be tested using data obtained from the experimental.
Experiments carried out to obtain data that is useful in determining the parameters of heat and mass transfer coefficients that are modeled in empirical equations.
The data that has been measured is used as a tool to validate the postulations that have been set.
The position of the thermocouple is placed at 4 heights to get temperature distribution data along the reactor height.

Based on the monthly datasets, including the number of traffic accidents, casualties and meteorological data, the relationship between the traffic accidents and meteorological conditions is studied.
Data and methodology 2.1 Meteorological data The monthly meteorological elements including relative humidity, atmospheric pressure, precipitation and visibility at Beijing observatory from Mar. 2007 to Feb. 2010 are taken in the study. 2.2 Traffic accident data The monthly traffic accident data are the numbers of traffic accident and casualty on BTT expressway from Mar. 2007 to Feb 2010.
The casualties increase with the reduction of surface pressure.
Based on the monthly datasets, including the number of traffic accidents, casualties and meteorological data, the relationship between the traffic accidents and meteorological condition is studied.
In addition, the correlation is much higher if the data in Oct. were deleted.

Several techniques for addressing this issue via indirect coupling of phase data with CALPHAD software have been developed [3,4].
Both the data structure used and the method of parameterization of the thermodynamic liquidus are analyzed.
The literature on data reduction for quaternary systems is scarce.
Therefore, the existing database of the quaternary Al-Si-Mg-Fe system was modeled and analyzed to gain a thorough understanding of data reduction as applied to this type of system.
The regression model is run using Matlab 7.0 and the COST2 thermodynamic database was used as a data source.