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Among the lithium greases, 5% CB contained grease performs the best friction reduction properties, and among the overbased calcium sulfonate complex greases, 6% CB contained grease performs the best friction reduction properties.
But the conductive capacity and friction reduction properties of the overbased calcium sulfonate complex grease and lithium grease containing CB was not studied.
The data of the coefficient of friction (COF) were recorded by a computer.
Moreover, the lithium grease containing CB perform better friction reduction than overbased calcium sulfonate complex grease.
According to the references reported, the friction reduction mechanisms of CB in greases may be attributed to three factors: firstly, CB dispersed uniformly in the greases, serve as spacers preventing the close touch between the contact surfaces [4].

Topchiev Institute of Petrochemical Synthesis, RAS, 29, Leninskiy prospect, 119991, Moscow, Russia aebmarkova@gmail.com Keywords: Propane cracking, propane dehydrogenation, vanadate, vanadite, temperature-programmed reduction, energy of activation, propylene, ethylene Abstract.
The structure of the catalyst is stable under the conditions of preferential C3H8 reduction.
Gadolinium vanadite GdVO3 was prepared from GdVO4 via high-temperature reduction.
The results obtained during the catalytic conversion were compared with the thermal cracking data.
These results agree with the data on the selectivity of product formation.

Introduction Principal component analysis (PCA) is a widely used technique for dimension reduction and feature extraction of data matrix [1].
Preprocessing of Data.
Data Structure and Computational Environment Construction of Medical Data.
In this subsection, we explain medical data, in concrete terms, rehabilitation data which is to be analyzed.
Here, we describe the main structure of input data.

There was an interdiffusion of Nd and Fe, both after oxidation and after reduction.
We studied Nd(Fe1-xCox)B nanoparticles after oxidation and reduction.
Partial reduction was detected with the formation of the Nd2(Fe1-xCox)14B phase.
This result is confirmed by the data of the element analysis.
Comparison of the data with the results of XRD measurements indicates the formation of FeCo alloy nanoparticles.

Algorithm description Noise reduction on original image.
So we select a median filter with window size w * w(w is an odd ); then we scan the infrared image with w * w window,sort the datas contained in the window and get the median as the grey value of  central point in the window,thereby reducing noise in the image.
As is shown in figure 3(a),the infrared image after noise reduction contains rich detail information and has low contrast in detail part,having a gray scale range from 768 to 9788,about 9000 grayscale.
The infrared image after noise reduction, base image, detail image and enhanced detail image, which are processed from figure 1, are shown in figure 2.
[2] XiaoBo Chen, XinPing Lu, ZhiBo Liu,A DDE Algorithm Based on Hierarchical Data Processing of Image, MICROPROCESSORS,2013

In order to maximize the loss reduction of this process, the laser scribing technics was investigated in details.
In this work, three laser scribing parameters including pulse energy, scanning velocity and scribing spacing, which are highly related to the loss reduction, were selected for the study.
The results indicate that the subsequence of significance of the three factors on core loss reduction is as follows: pulse energy, scribing spacing and scanning velocity.
In this work, we try to get the greatest degree of core loss reduction by directing a laser beam on the surface of the WISCO Company's product 30Q130.
As factors affecting core loss reducing level are sundry and interrelated, an orthogonal method was employed to design the experiment and analyze data.

Introduction Manifold learning has risen in recent years specializing in nonlinear distribution data dimension reduction method, mainly includes isometric feature mapping (Isomer)[1] and the local linear embedded (LLE)[2] method.
Algorithms are described below: Input: High dimensional data,, And every sample belong to the category of the Numbers.
Output: Low dimensional data，,（）. 4.
Used image feature in the experiments Characteristic name Dimension Color histogram [12] 256 Color moment [13] 9 Edge histogram [12] 5 contourlet [14] 62 orientation histograms [15] 68 total 400 To remove dimension effects, in data analysis of data before pretreatment is indispensable.
This paper is about a combination of the two - the strong generalization ability of the SVM and the LLE dimension-reduction methods, putting forward a new method of supervising and man folding learning algorithm, which can classify the interval between the two to maximize the local information and keep the data.

The application of SCR exhibits co-benefit of mercury catalytic oxidation and NOx reduction.
Experimental Procedure and data processing The SCR catalyst in the quartz tube is honeycomb structure, which is the same shape as the catalyst in SCR reactor in power plants.
The reduction may be caused by blockage by fly ash particles and sintering of TiO2 particles.
This phenomenon indicates that the difference of Hg0 oxidation rates between the catalysts is due to the decrease of active sites, which is consistent with the XRF data. 3) The effect of SO2 Figure 4 shows the mercury speciation of fresh SCR catalyst under different SO2 concentrations.
Heterogeneous mercury reaction on a selective catalytic reduction (SCR) catalyst [J].

Considering the external influences on rock deformation as instantaneous elastic deterioration defined by the reduction of instantaneous elastic modulus and long-term creep deterioration defined by the reduction of long-term creep modulus, kBurgers model with deterioration is presented too.
When considering the impact of rock deformation caused by these external factors, it is thought that the deterioration can be divided into instantaneous elastic deterioration and long-term creep deterioration, and the instantaneous elastic deterioration is defined by the reduction of instantaneous elastic modulus and long-term creep deterioration is defined by the reduction of long-term creep modulus. ① Instantaneous elastic deterioration For the definition of deterioration variable, deterioration can be defined by the reduction of elastic modulus in the view of energy damage theory, and it is considered that material properties deterioration is the main factor causing material damage.
There are two reasonable solutions for the above issues; one is processing the test data directly by using the creep equation iunder the assumption of constant bulk modulus, in order to avoid the conversion of model parameters.
The other is still processing the creep test data by conventional modeling method not considering any assumptions, and then achieving the assumption of conventional modeling by the exact relationship between the model parameters under several assumptions.
The instantaneous elastic deterioration is defined by the reduction of instantaneous elastic modulus, while long-term creep deterioration is defined by the reduction of creep modulus.

Technical data collection The on-site instruments are selected by normal ways.
Data processing: The data processing module mainly deals with data from field instruments and motors.
Manipulate all the collected analog signals and convert 16 bit binary data to the corresponding decimal data within the range.
Event alarm: Event alarm information includes process technical data alarm and equipment status alarm.
High economy of system The use of remote data collection module highly reduces the usage of on-site controlling cables.