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It is an infeasible task for uses to deal with the massive data and locate fault timely.
Bayesian network learning based on data mining can be used to detect fault in rotating machine [6].
In data mining, Feature selection methods can serve as a preprocessor to reduce redundant parameters.
Filter method based on chi-square test is applied in this framework for the dimensionality reduction.
It is different for uses to manually deal with these massive data and locate fault timely.

The hot bands were initially hot rolled from continuous casting medium-thin slabs with 135mm thickness and were subjected to total cold rolling reduction of 75% in Jinan Iron and Steel Co.
The EBSD data were obtained by a SUPRAtm 55 EBSD system link with a LEO-1450 scanning electron microscope (SEM).
Figure 2 shows the changes of the RD∥<110> and ND∥{111} fibers during the recrystallization of IF steel with total cold rolled reduction to 75%.
In addition, according to data statistics based on EBSD technique, the percentage of the recrystallized grains corresponding to the {111} transformation texture（83%）, whose misorientation angles with deformed grains exceed 15°, was greater than that of grains belong to {110} and {100} texture（12% and 5%）.
Data of stored energy was obtained mainly from the measurement of the broadening of the X-ray diffraction lines and is summarized below: E{110}>E{111}>E{211}>E{100} (1) Figure 5 shows origin of {110} and {111} recrystallized grains from deformed grain by EBSD analysis.

Recrystallisation Behavior of Cold Rolled Zr702: Influence of Rolling Direction and Thickness Reduction F.
EBSD data were processed with Channel5 software.
These specimen are denoted SR (straight rolled), TR (transverse rolled) and CR (cross rolled along RD0 and TD0 alternatively with a change of direction at each step) The thickness reduction ratio is approximately 3% at each step for these processes, and they have been conducted down to 50% and 80% reduction.
Increasing the deformation degree from 50 to 80% reduction leads to differences in the spatial distribution and relative volume fractions of the different zones as well as in their characteristic orientation gradients.
No difference in recrystallisation kinetics was observed between cross and transverse rolled material for a given thickness reduction ratio.

The set of problems was investigated by analyzing the measured data and by determining the wear in practical tests.
This problem often can be solved by modification of the tools or the reduction of the production rate.
For data acquisition, the mentioned sensors are connected via a bridge module (NI 9237) and an analogue input module (NI 9215) to a CompactDAQ chassis of the company National Instruments.
A very good correlation between the measured data and the simulations could be shown Summary and Outlook In this research project three different plate materials are used in blanking tools for production of small-sized parts at high stroke rates.
Compared to plates of steel, the materials aluminium and magnesium effect a reduction of the oscillation at the point when the sheet breaks through.

One of the main concerns of the automotive industry is reduction in structural weight of automobiles.
Reduction of weight on vehicles has been proven to lower the usage of fuel, and therefore save a lot of energy in order to move from one place to another.
At the same time, reduction of weight often means reduction in material usage, often regarded to be threatening structural strength of parts, components or vehicle’s body in white (BIW).
The effect of weight reduction in a vehicle can be seen in reduction in fuel consumption and emissions.
This then requires for the data to be read only at 70% of the crushing stroke, out of full stroke of 302mm, meaning the measurement when the wall hits the constraint will not be taken into account.

Thus, programmable measurement devices for distributed data acquisition and parallel computation, and data reduction and storage play a critical role in the implementation of SHFs, as a consequence of the fairly large number of installed sensors.
The different nature of structural and non-structural components requires different strategies not only for data processing but also for data acquisition.
In a similar architecture, relational databases play a critical role for data storage, data mining and data fusion.
Anomalies can be detected by continuous processing of the incoming data.
At the same time, the adoption of local data processing procedures, such as the automated dynamic identification of the structure, leads to a significant data reduction which is relevant not only for data transmission in critical conditions but also to reduce the costs related to data storage.

Synthesis of silver nanoparticles through two-phase reaction by the reduction of N, N-dimethylformamide Dawei Yua, Yanming Chenb, Guimei Shic School of Petrochemical Engineering, Shenyang University of Technology, Liaoyang 111003, P.
Introduction Research on synthesis and properties of metal nanoparticles has attracted much attention in recent years due to their potential applications on catalysis, optics, data storage and biological labeling1-2.
However, DMF exhibits good stability and mild reduction behavior compared to NaBH4.

Values for these parameters are determined by fitting Eq. 1 to data measured from a commercially available 600 V SiC SBD as shown in Figs. 1-2.
Fit of Eq. 1 to measured data (circles).
Log fit of Eq. 1 to measured data (circles).
V plot of the data of Fig. 6.
Measured data show good agreement with both an analytic model and simulation.

To be able to process the large amounts of data, both high demands on data quality and efficient algorithms for data processing and analysis are key.
This work deals with data preparation and analysis of production data in the manufacture of aluminum rolling ingots.
Preprocessing and Analysis Data Preparation.
As data sources, casting process data have already been discretized as described in the previous section.
Schreck, Visual Data Analysis of Production Quality Data for Aluminum Casting: HICSS (2021), 1530-1605

During testing, the plate and the data acquisition system are placed in a large closure (2.5m×2m×1.5m) in order to maintain the natural convection condition.
Temperature data recorded by a HP data acquisition system are finally transferred to a personal computer for further analysis.
The experimental data for the coated surface presented in the following sections are all the results for a coating thickness of 0.06 mm.
When the plate temperature reaches its prescribed value and the whole system is steady, the plastic film is ripped away and timing and data acquisition are started.
The reduction in the thickness growth of the deposited frost layer is greater than 40%.