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Therein, Principal Component Analysis (PCA) was widely used in data mining on machinery wear and life prediction [4].
However, solutions for outliers of spectral nonlinearity data have not been proposed.
KPCA, maps the data space to the high dimensional space through nonlinear mapping.
Statistical methods for reliability data [M].
An application of DPCA to oil data for CBM modeling [J].

In order to verify the reduction of the vibration, a test rig was set up.
On the test rig, the reduction effect of two different dampers was studied by adjusting the amount of the magnetic fluid.
It was accepted by the data acquisition and transformed by analog-to-digital conversion, then inputted into the connected computer, and then converted into acceleration signal by Matlab[5].

Results and discussion In Fig. 1(a) differential data are reported at selected temperatures and strain rates.
The data were normalised by means of AISI 316L m [7] for comparison.
The s’ values at different temperature against temperature are reported in Fig. 1(b), where the experimental data point at 1000°C with 10-5 s-1 is not reported, since dynamic recrystallisation occurred and the flow curve showed flow stress reduction with straining.
Experimental data sV/m vs. s’ and so/m vs. s’ are reported in Fig.s 2(a) and 2(b), respectively.
However, to author’s knowledge, there are no data available on s in commercial alloys like AISI 316L.

Lin Hsien-Te; "Life Cycle CO2 Emissions of Building Utility lines in Taiwan" [5] again supplemented the foregoing database by providing data for more than 20 types of utilities line materials.
This study therefore places special emphasis on building violations, and employs building violation data compiled by the building management unit of Tainan City as a basis for the classification of illegal structures.
Analysis of building violations This study analyzed building violation data derived from inspections performed by Tainan City Government's building management office from 2001 to 2007.
The raw sample contained 8,100 data entries.
Types of illegal structures According to the 2001-2007 inspection data, total building violation floor area was 423,308m2.

Unless noted otherwise, the majority of the data reported in this review was generated on this or similar microstructure.
Crack nucleation is then related to the magnitude of the fatigue parameter, often calibrated to smooth specimen data.
This life fit was developed using uniaxial data from [1] and is valid for lives between 3000 and 10 6 cycles including data with strain ratios ranging from R = -1 to 0.8.
The UTRC data shown in Fig. 4 corresponds to gross slip conditions.
Future Directions Compared to most material systems, there is a good amount of fretting fatigue data coupled with microstructure-based models for duplex Ti-6Al-4V.

Finally, the predictive capability of the proposed method is demonstrated by comparing our theoretical predictions with the available experimental data.
Thus, the geometrical discontinuities trigger a significant amount of reduction for the fatigue strength.
The PZS calculated using the above procedure, PZS1 termed herein, is valid only when a crack tip is present near a notch root, whereas when a crack is very long, the following equation [8] for a central crack in an infinite plate under tension gives a more precise value of PZS: . (9) Therefore, PZS can be obtained by using the following condition in addition to Eq. 5: . (10) a** signifies the value of a with which PZS1 = PZS2. 3 Results and Discussions 3.1 Experimental Data In this study, the predictive capability of proposed method is demonstrated by comparing with the experimental results obtained by Akiniwa and Tanaka.
The details of the specimens are given in [5]. 3.2 Comparisons between the Theoretical Predictions and the Experimental Data The behavior of a fatigue crack emanating from a notch under uniform tension is simulated.

Small area reduction rolling is one of difficulties for the multi-wedge cross wedge rolling.
Because area reduction of 1 and 2 wedge rolling the middle axle together is only 22.7%, mould can’t easily exhaust metal to axle end and then generate large axial deformation when mould parameters are selected improperly.
(a) effect of forming angle on transverse stress (b) effect of forming angle on at A point transverse stress at B point (c) effect of forming angle on lateral stress at C point Fig. 5 Effect of forming angle on transverse stress at feature points Table 1 The processing parameters for changeable forming angle Stretching angle β（°） Forming angle α（°） Area reduction （%） Rotation angle θ1/θ2（°） the 1st (wedge) the 2nd (wedge) the 3rd (wedge) the 1st the 2nd the 3rd the 1st the 2nd the 3rd the 2nd /the 3rd 8 7.7 4.8 24 24/ 36 22.7 29/ 56 1.83/3.6 30 36 Fig. 6 shows the effect of forming angle on shearing stress at feature points.
Based on the above data, increasing forming angle of 1 and 2 wedge can effectively reduce transverse stress at A,B point and shearing stress at B point ,which is benefit to small area reduction rolling.
Table 3 The processing parameters of model Stretching angle β(°） Forming angle α（°） Area reduction （%） Rotated Angle θ1/θ2 （°） the 1st (wedge) the 2nd (wedge) the 3rd (wedge) the 1st the 2nd the 3rd the 1st the 2nd the 3rd the 2nd /the 3rd 8 7.7 4.8 36 36 24/36 22.7 29/56 1.83/3.6 Conclusions Increasing forming angle of 1 and 2 wedge can reduce transverse stress at A and B point and shearing stress at B point, which is benefit to small area reduction rolling.

In this process, bolted connections may sustain considerable moments and axial forces and failure of these connections may take place due to material strength reduction during the heating stage or large contraction forces produced in the cooling stage.
Furthermore, material property of fillet weld is commonly affected by welding consumables and welding procedures. 2) Accurate prediction of temperature-time variation of connection components relies on thermal conduction in these steel components, radiation/convection boundary conditions and proper definition of fire development models[6]. 3) Strength reduction at elevated temperatures: strength reduction of these components may be varied in fire, arising from various strength reduction factors in different materials as shown in Fig. 1 or non-uniform temperature distribution in a bolted connection. 4) Connection ductility relies mostly on individual elongation of each connection component and differential elongation of various connection components because of increasing temperatures and variation in material properties of the components.
Fig.1 Material strength reduction for connection components Clearly, application of the component-based method in fire is more complicated due to involvement of material properties and strength reduction at high temperatures.
For example, in a flexible endplate connection, bolts and welds has been classified as brittle components, and their strength reduction is obviously faster than steel material at high temperatures as already shown.
World Trade Center Building Performance Study: data collection, preliminary observations, and recommendations.

Clinical guidelines, Data Mining, Decision Support System, Data warehouse, OLAP Abstract.
The required information in Database or in Data Ware House might be the historical data of patient or the health based summery of different patients in diverse stages.
Xiao et al [1] suggested that distributed decision support systems provides linked anonymised data scheme for patient private data protection.
Another aspect of research work focuses on temporal data Ming in covering large geographical area that produces data for analysis purpose.
The Advance Data Mining Analysis technique is used for extracting only suitable patterns of related information from Data Base.

The obtained data of Young's modulus, micro-hardness with spectral mapping of chemical elements and phase analysis allow to exactly specify structural components that are the initiators of the material’s stress state and are the reason for local cracks.
Sub-micromechanical tests by method of continuous indentations using Berkovich indenter [5] have shown the anomalous adsorption reduction of strength at the grain boundaries of the Al alloy.
An anomalous adsorptional reduction of grain-boundary strength at the initial stage of diffusion occurs.