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The data groups which are created from data for learning are called standard spaces.
These data are referred to as data for learning
This data is referred to as individual
One data is selected as individual, and standard spaces are created from other 473 data.
Data for estimation Test No.

In their investigation, data were presented showing the effect of cold work on the short time creep strengths of various types of commercial copper under several conditions.
This material is submitted to successive reduction by cold wiredrawing process from ε = 14.24 to 92 %.
The strain-time readings were continuously recorded by PC-based data acquisition system.
Each datum of the hardness was the average of five repeated measured hardness and the test load is 100 g.
The structure of drawn-wire after a series of section reduction, is characterized by a regular orientation of the grains along longitudinal section « texture » ( Fig.1a).

The data obtained with this new system agreed with the existent data and the standard deviation was 0.03%.
However, it takes much time and efforts to get the fatigue data.
As a result, the number of reporting the fatigue data has been reduced recently.
If the results measured by the two methods are same, the data should be placed on the solid line.
The data obtained with this new system agreed with the solid line and the standard deviation was 0.03 %.

PCA (Principal Components Analysis) can simplify the data processing on the basis of the maximum retention of information of the original data, thus highlighting the useful signal.
The main idea of KPCA is that map the data of the sample space into a new high-dimensional feature space by the nonlinear function; Then, PCA is used to this kind of mapping data, and obtain the principal components of the original sample data.
element; (6) Data from the phase space of the reverse one-dimensional signal to obtain a one-dimensional signal after noise reduction [5]
The ‘i’ is the matrix phase space data of all the elements.
We measured two common conditions of the tower's normal vibration data

Wherein GPS surface deformation measurement part comprises a base station, a measuring station and a data calculation unit ,it can obtain the relative displacement data of the monitoring area, then transfer the data with other sensor measuring value (digital or analog quantity) to data acquisition and transmission unit DTU.
Data acquisition and transmission module will set up the system working mode and parameter,manage the power, response to the control instruction from the data center and transmission the underground measurement parameters to data center.
Data processing center Data processing center is generally located in an office away from the measurement site, physically includes server and GPRS Modem components, from the function point of view,the server can be regarded formed by data receiving control module, database and data analysis processing module.As shown in Fig. 2.
Fig.  2 Schematic diagram of data processing center Measurement data is transmitted via GPRS/GMS to a data processing center, through GPRS Modem components, then the data will be received, decoded, preliminary processed by the data receiving control module and transmitted into the database, data receiving control module automatically return the feedback information, it can also send the operation instruction to the monitoring sites according to the user operation.
Data analysis and processing module will read the data in the database, then analysis the data according to user needs and export the data with diagrams and tables.

WPIMS could provide the wind turbine mechanical vibration data, wind speed and temperature status of the data, the output voltage and current data, and post-vibration, post-wind speed and post-temperature data into the fact base, and with the combination of expert inferencing rules, the expert information that matched the requirements would be provided to inspect user.
Figure 1 Block diagram of fault diagnosis software The fact data acquisition subsystem.
The the main function of fact data acquisition subsystem is to provide derived data that the inspect user can not provide but of importance no expert knowledge, which are vibration data, wind speed, temperature, real-time voltage and current data.
After unified treatment into vector data by WPIMS, these data were saved to MySQL database, to be corresponding analyzed and processed.
For eaxmple the vibration data is mainly used to analyze the kurtosis index and crooked index data. hourly mean wind speeds every day were used to calcuate mean wind speed during the period of each work and so on.

The overall accuracy of sensors and data acquisition system is under 0.05%F.S.
Finally, complete the data processing on the basis of the test results and compare the obtained data with test results of other automotive wind tunnels and then come to an accurate conclusion.
The test is conducted with the car models made at the rate of 1:2 to obtain more accurate data.
There are certain errors between the test data, but on the whole, the error is very small.
Therefore, reliable test data can be obtained through automotive wind tunnel test conducted in it.

Formability of tube in elevated temperature is essential data to design the warm hydroforming process parameters, such as tube diameter, forming temperature and die geometries.
Since the quantitative data of forming limit can be used to predict the failure on forming process, formability data available on the FE analysis is one of the very important information for the optimum design.
Formability of tube in elevated temperature is essential data to design the warm hydroforming process parameters, such as tube diameter, forming temperature and die geometries.
Since quantitative data of forming limit could predict the failure on forming process, forming limit data available on the FE analysis is one of the very important information to design the process variables.
And, thermal properties of Al6061 were used material data from DEFORMTM.

Message module for server data transfer – the solution used for SiadEnv data storage is the cloud storage solution offered by Pachube data server.
The main allowance characteristics for Pachube data server are presented in table T1 Pachube data server accept data in its own XML format.
Fig. 4 XML data conversion module The XML compiled data are used as input for the next sub-VI that main role is to put data on Pachube server.
Each data stream contains numberless data points for each measured values.
The maximum data points per minute can be up to 100 data points/minutes.

Data evaluation approaches.
(b) Xj values are estimated by successive data reduction or decomposition steps on the basis of Yi,obs.
(b) Detail of observed data from (a) together with LaB6 data representing instrumental resolution (scaled, straight line). 3 Data evaluation procedures 3.1 Basics of data evaluation: Procedures A-C Data evaluation was performed using the TOPAS suite of programs [16] by minimising the difference between observed and calculated profiles.
Furthermore, the calculated evolutions of κ2(∆εhkl) according to Eq. 18a (data from procedure B) and Eq. 20 ( = 2; data from procedure C) are shown.
The corresponding curve calculated from procedure A by further data reduction of the extracted individual reflection parameters is virtually indistinguishable from the present one and is, therefore, not shown.