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Spindle motor data.
Data Collection.
Data Integration.
These data were sent and stored in a database created with SQlite3, whose content can be checked and used.
An Exploratory Data Analysis (EDA) is conducted to identify patterns, trends, and relationships within the data recorded from the aircraft assembly line.

For comparison the relative data for larger volume polypropylene grades have been presented as well.
For example 5 ppm Mg content in powder corresponds to the activity of 35kg of PP/g cat., statistically average data for this catalyst lot is 34.9 kg PP/g cat., which is an evidence of the sufficient analysis precision.
This data also points out the necessity to investigate polymer molecular-structural differences for establishing a mechanism.
As is evident from MWD data the deposit polymer has higher polydispersity due to the presence of both low-molecular components as discussed above and high-molecular “tail” contrary to powder.
Fig. 3 shows NMR 13С spectra of the polymers under study and in table 4 the data relating to the content of stereo pentads is given.

However, for the forged piping branch junction of interest here, there is very little experimental data available up to now.
In the end, the existing solutions for limit pressure of forged piping branch junctions were evaluated by using the experimental data.
From the comparison of the predicted results and experimental data, we can see that the predicted values from Eq. (3) are closest to the test results.
The mean error between estimated solutions from Zahoor's formulas and the experimental data exceed of 21%.
Compared with the experimental data, the predicted results from Zahoor's solution are apparently greater except the specimen T8.

The obtained results were discussed on the basis of literature data.
Another factor influencing the complexity of phase composition is the slight reduction atmosphere in the clinker production process, which leads to partial reduction of Fe 3+ to Fe 2+ .
The first precise data originate from the works of Majumdar [4], Biggar [5], Midgley [6,7] and Glasser, Marr [8].
In 1980 Hanic, Handlovic and Kapralik [9, 10] published precise crystallographic data on Q phase and verified the chemical formula as Ca20Al32-2xMgxSixO68.
They discovered that the reduction atmosphere in the process of sintering greatly influences the formation of Q phase.

Strength is improved through the Hall-Petch effect [2] whist good ductility arises from a reduction in twinning as grain size is reduced [3].
To determine the annealing time to 50 % completion of restoration (t50) the modified Avrami equation is fitted to the data [9,10].
To determine the value of t50 the values of ∆σmax, n and t50 are changed until Eq. 1 fits the measured data.
It can be seen from the t50 data (Fig. 3) the binary alloys have the fastest restoration rate.
The greatest reduction in the restoration kinetics occurs when Gd is present and the Zn content is low.

The result means that WT-SVD method can strike a balance between data compression and preservation of small valid information in feature extraction of three-dimensional fluorescence spectra of mineral oils.
With decomposing data into the low-frequency and high frequency parts in different directions, WT can maximize the retention of effective small components’ information in the original data, but the coefficient matrix is relatively large in scale.
Diagram of 3-D fluorescence spectrum measurement system Data Preprocessing.
After numerical filtering used to restrain spurious interference, in order to unify spectral scale and get comparability in the global data domain, range normalization of EEM data based on the matrix is performed to transform the data into the [0,1] range, as shown in the Eq. 1: (1) Fig. 2 is the 3-D fluorescence spectrum contour based on the EEM matrix of 97# gasoline sample of some concentration after interpolation smoothing, called as ‘spectrum fingerprint’.
Wavelet Transform (WT) has zooming capability with high local resolution, low distortion characteristics, for data decomposition.

A considerable effort has been concentrated on identifying input climate data most appropriate for the models developed.
These projections are subsequently applied to the baseline climate data as described in the next section.
A 30-year statistical data for a given site (e.g.
Table 2 provides a summary of the climate data used as a baseline.
There are some limitations to the climate change data generated.

Noise reduction is the focus of several studies aiming at noise mitigation by technical approaches involving roughness reduction of wheel and rail rolling surfaces, optimization of wheel and rail shapes, modification of their structure and the use of different local shielding methods [7].
Past explorations have shown a reduction in noise of 6 dB by using tuned frequency dampers [9].
The NI cDAQTM-9174 chassis was used for the data acquisition.
By using the rail acceleration and impact force as input data, the rail’s receptance was calculated using the Fourier transform.
An assessment of the effectiveness of noise reduction systems on Dublin's light rail system.

An Improved Noise Reduction Based on Wavelet Threshold Jianhui XI1, a, Jia CHEN2, b 1,2School of Automation, Shenyang Aerospace University, 37 Daoyi South Street, Shenyang, 110136, China aE-mail: xjhui_01@163.com, bE-mail: chenjia3018@163.com Keywords: Wavelet transform; threshold de-noising; signal-to-noise ratio (SNR); mean square error (MSE).
Wavelet Threshold De-noising The main idea of noise reduction based on the wavelet transform is that the energy of signal mainly concentrates on some special wavelet coefficients while the energy of noise will be distributed in the whole coefficient domain.
The wavelet transform has a strong correlation to the data, it enables the signal energy concentrate on a number of large wavelet coefficients in the wavelet domain; and the noise energy is distributed in the whole wavelet domain.

The stress shows that the applied load does not because fracture based on the theory of maximum normal stress and Mohr's criteria, the location of the highest and lowest stresses is not in the fault area, and fatigue life without defects produces infinite cycles or will not fail, and fatigue life simulation with defects results in a reduction in life.
The results displayed at this stage and selected as analysis data are values and distribution of maximum normal stress, minimum normal stress, fatigue life by Goodman and Gerber, and fatigue life due to cracking.
When compared with the simulation without defects the reduction in life is very significant, with the same loading.
Crack Size vs Cycles Conclusion Based on the parameters that have been simulated, the stress shows that the applied load does not because fracture based on the theory of maximum normal failure and Mohr's criteria, the location of the highest and lowest stresses is not in the fault area, fatigue life without defects produces infinite cycles, and simulation of fatigue life with a defect result in a reduction in life.