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The application of TRIZ theory in the Rub drum of reverse data acquistion and modeling Xuan Lin YE (College of mechanical and electrical engineering, Yun nan Open University, Kunming 650500, China ) Corresponding author: Tel:15969585167; E-mail:190516046@qq.com Keywords: TRIZ, Rub the drum, Reverse engineering, data acquistion Abstract: Based on the actual processing problem of rubbing the drum parts without drawing, the author conducts the research to the rubbing the drum real reverse engineering, then in view of the existing reverse engineering data acquistion problems, is analyzed by TRIZ theory, according to the technology contradiction solve method and combined with the actual situation of the problem, the feasible solutions obtained, to provide reference for the engineering and technical personnel. 1.
TRIZ theory to solve practical problems of thinking Many methods of data measurement, and each method has its own characteristics, not detailed here, but in the actual application process, the data of existing measurement methods are difficult to satisfy simultaneously measuring accuracy and speed of the two requirements.
Fig 1 The general workflow of TRIZ to solve the problem 3. 2 Problem description According to the measurement of different sensors, data of existing measurement methods can be divided into contact and non-contact type two broad categories: three coordinate measuring machine contact measurement equipment is the most representative, has the advantages of high measuring precision, good repeatability, is not affected by the surface color and light limitation, can measurement of deep hole advantages; disadvantages are: low speed data measurement, measurement of small data density, connection topology is not convenient for surface reconstruction, in the process of measurement also needs to make the complex path planning.
The specific problem as described by the 39 general engineering parameters of technical contradiction, this paper choose to improve measurement efficiency data for improved object, so the choice of 39 engineering parameters (productivity) in order to improve the measurement accuracy of parameters, selection of data reduction is caused by the deterioration of the operator to improve object, therefore the choice of 28 engineering parameters (the number of test accuracy) worse parameters.
According to the principle, before were measured using three coordinate measuring machine, optical scanner data has high measuring efficiency of measurement, the preliminary shape information acquisition model, then the local measurements to obtain high accuracy measurement data of local use of three coordinate measuring machine, and using the data of surface deformation, thus achieving data fusion.

For the data sets, mainly through resampling, to construct a balanced distribution of the training data set.
Analysis Of Impact Of Data Distribution Imbalance on Feature Selection Two Forms Of Data Distribution Imbalance .
The experimental data are shown in table 1.
Table 1 Experimental data sets Data set form Category Training set Test set Unbalanced data set C1 718 42 C2 111 39 Balanced data set C1 111 42 C2 111 39 (1) Experiment 1.
[5] Chen Tao,Xie Yangqun.Literature review of feature dimension reduction in text categorization.

Therefore, this paper adopts the related panel data analysis method .
data sample This paper is focused on the panel data of the energy consumption and GDP of the OECD countries and the BRICs from the year 1986-2009, within which,it converts the annual nominal GDP into the actual GDP(unit average: billion dollars) according to the global GDP constant prices of 2005; annual energy consumption (mainly includes:crude oil, natural gas and raw coal) is converted to million tons of oil according to the related convertion standards of the BP world energy statistics annals(2010) .
Rroot of panel unit test the panel unit root test means making a unit root test on the cross section sequence of variables of panel data as a whole.
The test of the unit root of panel data is similar to that of the time series, with the prior consideration that whether there exists an auto-regressive constraint in the panel data structure.Considering the AR(1) process based on the panel data structure: (2) i=1,2,…,N means the cross section sample; t=1,2,…, Ti means the time span of the panel unit but represnts all the fixed effect and rare trends in all modes; is an auto-regressive coefficient; is error and assumes to be interdependent.
In order to avoid the “fake regression”of the panel data sequence, we should first carry out a panel unit root test on the panel data sequence.

The abductive network is also applied to synthesize the data sets obtained from the numerical simulations.
The sound tubular flanged parts were produced only for relative die gap heights of up to 6.1/ =wt and relative height reduction ξ( tl /2∆ ) less than 100%.
Figure 3(a) shows both the minimum amount of preforming required and the minimum relative depth of die cavity are 7.3% relative reduction in height and 0.21, respectively in the case that the end stroke of deformation is 90% relative height reduction of the billet.
When the relative height reduction at the end stroke of deformation becomes larger shown in figures 3(b) and 3(c) with 100% and 110% relative height reductions, both those two minimum quantities are increased.
oi dd / wt / ξ(%) min)/2( ta AIM min)/2( ta FEM minζ (%) AIM minζ (%) FEM 0.514 2.2 95 0.269 0.274 9.2 9.15 0.514 2.6 105 0.351 0.354 12.8 12.5 0.629 2.2 105 0.297 0.313 11.7 12.2 0.629 2.6 95 0.333 0.336 15.2 15.1 In order to validate the accuracy of the prediction model, another four data sets are tested for minimum relative depth of die cavity and the minimum amount of preforming.

Spatiotemporal system can be effectively analyzed through separating data into spatial and temporal or using data as a whole entity.
In either way, we can conclude that both the spatial data and the temporal data will affect the final result (the system).
In Section 3 and 4, spatial data and temporal data representation are discussed.
The nature of time series data includes: large in data size, high dimensionality and necessary to update continuously.
In this method, a rate of m/n is used, where m is the length of a time series P and n is the dimension after dimensionality reduction.

Based on the data obtained during this study, the initial footstep geometry produces data in the form of total deformation (1.383 mm), equivalent stress (21.013 MPa), and safety factor (1.227).
The 10% variation produces data in the form of total deformation (1.4368 mm), equivalent stress (20,564 MPa), and safety factor ( 1.2538).
At the same time, the 25% variation produces data in the form of total deformation (1.3058 mm), equivalent stress (22.27 MPa), and safety factor (1.1577).
This data is entered into the ANSYS Workbench software's Engineering Data section's table.
Based on these data, the best footstep design is a design with a mass reduction of 20% because when compared with other conditions it produces von Mises stress results, the smallest total deformation, while the safety factor is the largest.

Nd2Fe14B particles were obtained from mixture of neodymium oxide, iron oxide, boric acid and CaH2 by reduction-diffusion process.
Results and Discussions Figure 1 shows XRD data for different washing processes and its influence on phase transformation for obtained Nd2Fe14B product.
SEM microphotography of powders obtained after reduction-diffusion (a), washing with only water (b).
Lee, Fabrication of ultrafine Nd-Fe-B powder by a modified reduction-diffusion process, Rare Metals 25 (2006) 223-226
Choi, Influence of Ca amount on the synthesis of Nd2Fe14B particles in reduction–diffusion processes, J.

Then the noise reduction theory of sound barrier is introduced in detail.
The data shows that the noise produced by a car in normal driving is 80~90dB , and the traffic flow noise is close to 100dB(A) in rush hour[1].
(a) Settings of simulation condition According to the measured data, the vehicle flow of the main road is 1000 cars per hour, so it can be seen as line sound source.
The noise reduction effect of sound barrier is further reflected.
But the noise reduction effect is not as good as the figure 2(b) and 2(c).

The reduction of 1,2-trans-diphenylethene is carried out at low temperature (~80°C) and atmospheric hydrogen pressure.
They prepared Ni/Al2O3 by reduction of NiO under steady stream of [H2Al(OtBu)]2 in cold wall MOCVD reactor [12].
XRD data were collected on XPert-MPD diffractometer of Phillips using Cu Kα radiation (λ = 1.5406 Å) operating at 40 kV and 40 mA.
The reduction was carried out for approximately 10-15 (short time) and 25-30 minutes (long time).
Once the reduction of Ni+2 to Ni0 is completed, the excess precursor will decompose according to its natural way.

This paper presents a new methodology for obtaining singleton fuzzy model from experimental data.
This paper presents a simple method for obtaining interpretable fuzzy models from data.
The methodology used in this article to get fuzzy model from experimental data is structured as follows.
This data set contains 699 instances (patterns) with 683 complete data and 16 samples with missing attributes.
Zurada, Data-Driven Linguistic Modeling Using Relational Fuzzy Rules, IEEE Trans.