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The paper first introduces the principle of equivalent damping ratio of the seismic response calculation methods in seismic specification of China and Japan, then analyzes and compares reduction of seismic response caused by the equivalent damping ratio in seismic specification of China and Japan by calculating data.
Then forecast the reduction of seismic response.
The degree of reduction of acceleration response spectrum which is calculated based on the Japanese seismic specification reduces less than that the degree of reduction of acceleration response spectrum which is calculated based on the Chinese seismic specification.
With the damping ratio increasing, the degree of reduction of acceleration response spectrum which is calculated based on the Japanese seismic specification reduces more than that the degree of reduction of acceleration response spectrum which is calculated based on the Chinese seismic specification.
Fig. 4 The reduction rate of acceleration response spectrum in China and Japan is changed with the period in different damping ratio Fig. 4 shows that additional damping ratio in China and Japanese can reduce the degree of reduction of acceleration response spectrum.

With the development of on-line monitoring technology of electric power equipment, and the accumulation of both on-line monitoring data and off-line testing data, the data available to fault diagnosis of power transformer is bound to be massive.
Furthermore, it is unable to preprocess data. 3) In the data preparation stage, rough set can be used to fill the incomplete data and reduce the dimensionality of data, for the purpose of reducing the computing amount of association rule mining.
data processing layer itemsets classification layer attribute reduction layer itemsets mining layer rule acquisition layer fault diagnosis layer initial data data processing original itemsets itemsets selecting decision table with attributes attribute reduction simplest decision table frequent itemsets mining frequent itemsets attribute value reduction rule acquisition fault diagnosis classifier fault diagnosis Fig.1.
Attribute reduction layer The operation object of this layer is original decision table, reducing data dimensionality by using attribute reduction algorithm of rough set theory.
Input test data, and use the constructed classifier to classify data whose class attribute value is unknown.

In AUSCS, ultrasonic flaw signals acquired in the form of digitized data are first preprocessed; then the informative features are extracted using various digital signal processing and pattern recognition techniques; finally, the set of selected features are taken as the basis of flaw identification by training the proper classifier.
Thus, dimensionality reduction techniques need to be applied to transform the original features into a lower dimensional space which is useful for feature reduction to avoid the redundancy [3].
Given training data X with n samples and c classes, let ni be the number of samples in the ith class ().
Therefore, some schemes need be used for dimensionality reduction.
Finally, the features after reduction were fed to BP networks for flaw classification.

By using the data mining method to preprocess the communication data, we reduce the amount of data and shorten the data process time.
So the function of the data preprocess include removal of erroneous data and data conversion.
The aim of dimension reduction is to get rid of the attributes which have nothing effect with our data mining result and improve the speed of computation time.
In the process of dimension reduction, it is usually used attribute subset selection to get the proper subset for data mining.
The algorithm of minimal subset discovery is used to discover the optimal subset in the process of data dimension reduction.

The principle of the method was presented and then we compared the results obtained by the new method to the experimental data measured by Marla et.al [3] and Bresee and Ko [4].
Substitute the data of Fig. 4a into Eq. 2, the fiber diameter reduction distribution along the spinning line can be obtained.
Fig. 4b shows the fiber diameter reduction obtained by the geometry method.
However, our result fits the diameter reduction measured by Bresee and Ko very well.
(b) The diameter reduction calculated by the geometry method and the compared data from Marla et.al [3] and Bresee and Ko [4].

Key words: Rough Sets Theory, incompletion, fault diagnosis Abstract: There are redundant, incomplete and incorrect data in the equipment test data gained by the test equipments.
Pawlak in 1982, which is a Math Tool of processing this kind of data.
So it has been widespread used in data mining, decision analysis, fault diagnosis and so on.
Equipment Fault Diagnosis Related Model Plenty of test equipment has gained abundant equipment test data when Rough Sets Theory is applied to fault diagnosis, firstly, three-layer fault related model between test data and fault phenomenon.
Table1 The relationship of “height data is abnormal” No.

Model Validations Test Computations of the averaged drag coefficients and Strouhal numbers for a single cylinder at Re=200 and Re=5.5X104 for three dimension are carried out and the results compared to the published data to validate the computational method.
The result shows that the tripping rod has a better control effect for force reduction at higher Re.
All this phenomenon relate to the drag force reduction.by C.H.Kuo.et.al[9] Fig. 3.
This optimum angular position was found to be 40° for Re=200 where the drag coefficient is reduced by 21%,while for Re=5.5´104 the optimum position is 30° and the drag coefficient is reduced by 36%.The effect of tripping rod for drag reduction is more effective at high Reynolds number is in good agreement with previous experiment data.
“Numerical study of Fluid Force Reduction on a Circular Cylinder Using Tripping Rods”.

This can be confirmed by surface area (SA) data as provided in Table 1.
These results are in good agreement with SA data: higher total surface area of materials based on CNTs can facilitate the contact between catalyst and oxygen, resulting a higher electrochemical activity towards ORR.
The oxygen reduction peak disappeared when methanol is present in the electrolyte solution.
Kinetics of oxygen reduction, J.
Rhee, Oxygen reduction on composite FeOx nanoparticles embedded in porous carbon, Electrochim.

Dependability of the relative sulphide oxidation rate from oxidation-reduction potential (versus Ag/AgCl).
Table 1 contains data on biocake mineralogy in the feed reactor 1/5 of BIO-1, where the potential was 600mV and in the feed reactor 1/2 of BIO-2, where the potential was 540mV.
These data confirm the impact of oxidation-reducing potential on the sulphide minerals oxidation rate.
Data in the table 1 fully comply with data on Fig.1.
These data clearly demonstrate the impact of oxidation-reduction potential on the oxidation rate of sulphide minerals.

Noise reduction by using composite plate C.
Due to the limitation of noise control at the source, various noise reduction methods have been developed.
Results The noise reduction by using panel silencer is to reflect the sound to the upstream as shown in Fig. 2.
This also shows that the noise reduction is totally attributed to the sound reflection.
Conclusion The general conclusion of this study is that the theoretical prediction of various reinforced panels used for duct noise reduction at low frequency is validated by experimental data.