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The scatter of test data under interior standard preparation is lower than the data scatter of outdoor plug samples.
Similarly, according to tension data in group 5, for C and m of effective regression, we obtain that, average s0 tends to 2.2 when m→ ∞. 42 and 2.2 is the average value of s0 when taking V=0 in Eq.10.
Because of the less data, and not the same as the sample number of each group, the conclusions also need to be studied in a larger scope.
Based on his analysis of the existing test data, Bažant proposed [14] m = 12 for the small size and m = 24 for large size [4]
Some scholars also presented data in this regard, such as J.E.

Both approaches to this issue, although different, emphasize that the reliability of measurement data is the basis for making intelligent decisions (Fig. 1).
And the facts are true when the data from the process will be collected in a reliable way.
On the contrary, the VDA manuals use previously collected data and expand on them.
[2] Evaluation of measurement data — Guide to the expression of uncertainty in measurement, GUM, 1995
[7] K., M., Non-Traditional MSA with Continuous Data, American Society for Quality, 2003

Based on the data in Table 1., to see the effect statistically, an F test was carried out through ANOVA analysis.
Based on the data in Table 2., to see the effect statistically, an F test was carried out through ANOVA analysis.
Based on the data in Table 3., to see the effect statistically, an F test was carried out through ANOVA analysis.
Table 3.1 Test Result Data Using ANOVA Analysis on the Effect of COD Table 3.1 shows the results of ANOVA analysis of the Effect of time and variations in Eco-Enzyme concentrations on the reduction of COD levels.
Based on the data in Table 4., to see the effect statistically, an F test was carried out through ANOVA analysis.

The data for land (A5, E6) came from the National Agricultural Production Cost and Revenue Information Summary 2007.
The data of income tax from households (F8) was from China Tax Yearbook 2003.
Other data were balanced items in the SAM.
The data for grain-based fuel ethanol can only be obtained from 2004 even though fuel ethanol production began in 2002, and cassava-based fuel ethanol can be acquired from 2007.
Therefore, this study entered the data of grain-based fuel ethanol in 2004 and cassava-based fuel ethanol in 2007 into the SAM.

Important data have been obtained concerning forces and their evolution for both mandibular and malar DO.
Data processing.
To develop the formulae used in data processing a local orthogonal coordinate system is attached to each carriage.
The free bone segment motion induces the elastic stored energy reduction.
Important data have been obtained in order to characterize the mechanical behaviour of bone regenerates in maxillofacial surgery.

In this work, using our earlier published creep data for advanced creep-resistant T23 and P92 steels, the interrelationship between creep deformation and damage have been analysed by linking them to the identified acting mechanisms, in terms of empirical formulas for the fracture time assessment.
These values correspond to published data on the creep behaviour of precipitation strengthened steels [1,5].
The analyses of creep data indicate that creep behaviour of the steels under investigation obey both Monkman-Grant and modified Monkman-Grant empirical formulas.
This means a substantial reduction of testing time.
Summary The analyses of creep data of a low-alloy T23 steel and a tungsten modified P92 chromium ferritic steel indicate that the creep deformation and fracture are mutually linked and controlled by the same mechanisms.

There is a high demand for input data on both material and construction side and also on modelling side.
Since these calculations are built on one another, the result can be very sensitive to the initial data.
The material quantities are calculated automatically using the geometrical and construction data of the model.
Data Visualization and Analysis Overall result views.
of data structure is visualized in a sunburst diagram (Fig. 2).

The ANFIS model was trained using MATLAB, namely the NEURO-FUZZY toolbox. 65% of the data was used for training, 20% for testing, and 15% for validating the model.
The data for the training, testing, and validating follows the same minimum and maximum range for the experimental process parameters data.
Parameter Value Parameter Value Parameter Value Percentage of Data for Training Set 65% Number of Membership functions 3-3-2 Inputs Processing Temperature, Processing Pressure, Processing Time Percentage of Data for Testing Set 20% Type of Membership function Gauss2 Output Interlaminar Shear Strength Percentage of Data for Validating Set 15% Number of Layers 5 Output Function Order One After establishing the ANFIS model for predicting the ILSS values, a particle swarm optimization (PSO) technique was implemented to minimize the fitness function.
To further reduce energy consumption, a cascading Hybrid approach was used to extrapolate data from the model.
Since the model is going to be used to extrapolate data, it is important to take into account the average error of the output.

The simulation data used during the implementation of the process at the combined processing unit CRE-200, the results of which made it possible to finally obtain electrotechnical wire with a diameter of 0.5 mm from 01417 alloy that meets the requirements of TS 1-809-63-2018.
For calculations, we used data on the rheological properties of alloy 01417 (Fig. 1) obtained by torsion in the laboratory of the Department of Metal Forming of the School of Non-Ferrous Metals and Materials Science of the Siberian Federal University.
To implement the process at a roll rotation speed of 4 rpm, it is possible to recommend the use of a set of roll tools with a caliber height in the smallest section of 5.5 mm, thereby reducing the height reduction during rolling will increase to 56%.
For drawing ratio ​​during extrusion 18.6, the height reduction during rolling is recommended to be increased to 50%, which was justified earlier in [15].

Large amount of experimental results illustrate that the method presented in this paper are efficient and feasible and outperforms other general method of PD noise reduction.
Minimum Description Length Based on Information Theory, the minimum description length (MDL) criteria is essentially a optimization strategy with minimum parameters to represent a semaphores, Kraft inequality equivalence build relationships of the probability distribution and encoding length, the encoding length can determined probability distributions and vice versa, The minimum description length of the sample data based on the Shannon source encoding theory is defined as the entropy of probability distribution: Where p is the probability it is the one-to-one correspondence between probability distribution and encoding length, MDL criterion is to find the minimum encoding length to describe the optimal model of the data in the given model library, an approximate expression of the MDL criterion[2] is: Where m is the transformation model index; 1≤ m ≤ M, k is the number of WT coefficients reserved, is the threshold operation, retain the k largest of WT coefficients unchanged, and others
Denoted N×N dimensional standard orthogonal matrix corresponding to the DWT, is the inverse matrix, , represent the WT coefficients use the m index wavelet function of the given model library, N is the length of data, the matrix after I operate remain unchanged.
Method and Data Analysis The paper selects the DaubechiesN and SymN wavelet function as the orthogonal wavelet function transformation model library, have high similarity with the partial discharge signals, that is {"db3", "db4", "db5", "db6", "db7", "db8", "db9", "sym3", "sym4", "sym5", "sym6", "sym7", "sym8"}, 1≤m≤M where M is library capacity, M=13, from the formula (1) the optimal wavelet function can be selected.
Processing result of PD with WT threshold denoising The experimental cable test data comes from the Guangzhou Power Supply Bureau, use the ADOWTS-10KV power cable oscillating wave PD positioning analysis.system for algorithm performance test, the analysis system is developed by Guangzhou JHComn Science & Technology Development Ltd and currently be in the field of industry leading position. the analysis system extracts power cables partial discharge signals and has them denoised in WT threshold algorithm, and fault location ultimately, the power cables extracted signal are submerged in the noises, the algorithm is integrated as a part of the analysis system which can compare the performance of proposed algorithm and other similar algorithms, the following are the experimental data analysis: Fig. 4.