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With the data analysis, the automatic control can be achieved to charge, discharge and restore the batteries.
Besides the battery quality problems, the improper use and maintenance will mainly account for the battery working life reduction, which can be listed as follows

According to the data released by the U.S.
[8] Cai Chunfang, Hu Guoyi, Hong He, et al., “Geochemical characteristics and origin of natural gas and thermochemical sulphate reduction in Ordovician carbonates in the Ordos Basin, China,” Journal of Petroleum Science and Engineering, Vol.48, No.3, 2005, pp.209-226

This article mainly analyzes that some steels select mold electromagnetic stirring technique in billet continuous casting production, improve the slab quality effectively in all directions,analyzes how to refine crystal axis with electromagnetic stirring technology, improve the rate of equiaxed crystal, make less bubbles on the slab surface and subsurface, reduce the non-metallic inclusions ,reduce the crack on the surface of the production, reduce the central segregation and make the solidified shell uniform, and etc in detail according to the relevant data.
This figure shows that on the central plane of the stirring, the magnetic flux density is the strongest, then it gradually falls into reduction, it will be very thin near the meniscus.

The calculation is good agreement with the experimental data and the theory, we obtained that the calculated data are validated.
Experimental method and data.In the experiment we use synthetic natural gas, the mole fraction is 0.9141 methane, 0.0570 ethane, 0.0289 propane.
In the group of data, we can see the bubble radius and the outer radius of hydrate changing with time-varying in Fig. 4.
In the group of data, we can see the bubble radius and the outer radius of hydrate changing with time-varying in Fig. 5.
The calculation is identical with the experimental data and the theory, so the calculate data we obtained are validated.

The numerical results were compared with the experimental data, and then the results were discussed.
Comparing the angle curves, the numerical results of the swaying angle are close to the experimental data when the wave height is 0.1m.
While in the crest values of the swaying angle, the distinction exists between the numerical results and the experimental data when the wave height is 0.07m.
So it’s expressed in the result as the reduction of the crest value, especially to the crest value of angle when the pendulum flap swings back with the acting of reflected waves.

Application of Elman Neural Network with HP Filter in the Trend Supply of Self-provided Power Plant Forecasting in the Iron and Steel Industry LI Hong-juana, WANG Jian-junb, WANG Huac, MENG Huad Engineering Research Center of Metallurgical Energy Conservation & Emission Reduction, Ministry of Education, Kunming University of Science and Technology, Kunming 650093,China aemail: fxzwlihongjuan@163.com, bemail: jennings_email@yahoo.com.cn, cemail: isentc@163.com demail: 284051088@qq.com Keywords: HP filter, Elman neural network (ENN), Trend sequence Abstract.
The prediction results using practical production data show that using the proposed HP-Elman method that sample A 48, 60 points trend forecast average relative error are 0.37%, 0.47% and sample B 48, 60 points trend forecast average relative error are 0.82%, 1.03%，which can effectively for the trend forecast of self-provided power plant gas supply with a reliable prediction capacity.
Therefore, we build up the model according to self-provided power plant boiler gas supply actual data on some iron and steel enterprise, the forecast results show that the accuracy and time all can meet the actual requirements which combination the HP filter and Elman neural network, and have a good application prospect. 1 Model construct Due to the byproduct gas frequent change which lead to the self-provided power plant supply predicting is not accurate, prediction results implement is not strong, making gas plan feasibility is not high, so most of the iron and steel enterprise are based on experience estimate and made plans.
Based on this situation, through a large number of production data, model creating as follows, first of all, used the HP filter to get the trend of self-provided power plant gas supply, and then to reconstruct the long-term trend sequence.

The data was obtained from EPER (European Pollutant Emission Register).
The obtained data from these measurements shows that every parameter, except NOx and particulate did not exceeded the Serbia regulatory emission limits.
Was verified that the model agrees well with the experimental data, especially in low and moderate convection atmosphere.
Validation by Experimental Data.
Stajic, Data analysis of the gas emissions in the thermal-power plant firing fuel oil and natural gas, Int.

The first two examples focus on the phase data.
In this data the load amplitude was maintained at a low level to avoid further growth of the crack during the data collection.
Taking a line of data through the upper stress concentration (line y = 108) allows the deviations in the phase angle to be correlated to the ∆T data (Figure 1d).
The phase data in the vicinity of the damage in the woven composite material shows similar trends to those from the aluminium plate, despite the non-uniform ∆T field; there is a reduction in the phase angle close to the crack tip because of the large stress gradients in the damaged region.
This idea could equally be applied to TSA data.

AMI is constituted of HAN (Home Area Networks), smart meters, data concentrators and MDMS (Meter Data Management System).
The attacker can intercept the data and break off the data transmission.
The main communication load types in AMI include: (1) Periodic data from smart meters to MDMS via the data concentrator.
The data must be transmitted in set time.
Av is the data type transmitted in AMI, .

In response to this shortcoming, many scholars have used a method of combination with PCA and LDA [8], the advantages of the PCA and LDA together fully integration, and it can not only solve the problem of PCA algorithm is not sensitive to the different training sample data problem, but also LDA algorithm when the within-class scatter matrix is singular, and obtain a better classification results.
The sampling time for each sample is 60 seconds and the rinsing time is set as 110 seconds, The interval for data collection was one second.
When the measurement was completed, the obtained data was stored in a computer for later analysis.
The reason is when the difference of sample quality grade is small, there is a big overlap of information or relevance in the differences in the sample that reflect by electronic nose sensor , PCA algorithm to find only the data distribution of spindle orientation, retained after dimensionality reduction by the information is not necessarily the most effective for classification .
Conclusions In this paper, PEN3 electronic nose was used to test Atractylodes samples of three growing areas, data analysis method using LDA algorithm based on MSD criterion to solve the problem of small samples, also distinguish with three Atractylodes from three different growing areas correctly, and the correct recognition rate of all testing samples reaches 97.8%.Furthermore, the classification results clearly superior to the use of PCA or PCA + LDA algorithm.