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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.

Potential of Size Reduction of Flat-plate Solar Collectors When Applying Al2O3 Nanofluid M.
Some studies were made on the potential of size reduction of various engineering applications by using nanofluids.
Work had been done by Saidur and Lai [17] in vehicle’s weight reduction, Kulkarni, Das and Vajjha [18] in building heat exchanger’s heat transfer area, Leong, Saidur, Kazi and Mamun [19] on the reduction of air frontal area of a car radiator and Leong, Saidur, Mahlia and Yau [16] on the size reduction of shell and tube recovery exchanger.
None of the studies focus on the size reduction of flat-plate solar thermal collector.
Thermal efficiency of a flat-plate solar collector can be calculated from: η=QuITAc (1) After the thermal efficiency of solar collector been determined, the potential of reduction of the size of collector’s area can be estimated by: Ac=mCpTout-TinITη (2) Size reduction calculation is carried out based from experimental data of Yousefi, Veysi, Shojaeizadeh and Zinadini [4] under the best operating conditions.

The tracking servo control has played an important role in the data storage servo systems.
However, higher data transfer rate and higher data density make it difficult to maintain the desired tracking precision during normal disk operation.
The next generation optical data storage systems should have a storage density of more than 5 TB/in2 and a storage capacity of more than 10TB with a high data transfer rate more than 1 Gbps [1].
To follow a data track, the track servo or track controller should be turned on at the moment a data track is crossed.
Conclusion The reduction of tracking error is critical to increasing the data storage density in next generation optical data storage system.

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.

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.

Rough set theory has powerful data reduction capability, this paper rough set theory to model the stock time series data, reduction, rule extraction, study the ups and downs of the relationship between the stock price, the use of advanced data mining techniques to dig out price linkage between stock association rules, has a very important significance.
In these data, a large part of the data type of the sequence of the presentation time (time series).
Clearly, data mining is such a tool.
Rough Set Theory has a good effect in processing the large amount of data and eliminate redundant information, and it is widely used in data mining, data preprocessing (data reduction), rule generation.
In addition, time series data mining, too much energy focused on the prediction of future data trends.

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].

Due to the possibility to collect a huge amount of production-relevant data [8], it is possible to use methods of data mining to obtain more insight into assembly processes and subsequently to identify top consumers and focus stations for example for energy saving projects.
This new data flow enables real-time tracking of energy consumption as well as long-term analysis and advanced data mining for e.g. quality improvements.
The data for the average and standard deviation of this program is shown in Table 2.
By using power measuring instruments, it is very important to generate a large number of data to confirm data accuracy, since power measurement has significant uncertainties.
This data mining approach aims to improve product and process quality.

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”.

Good compression quality and reduction effect of process data is accessed.
Real-time database specifically deals with the timing, frequency, and mass data with high storage speed, with high query efficiency, and with high data compression ratio for real-time high frequency data collection.
Real-time compression of massive data has a long history.
Experimental results and analysis 6000 real-time data is ready for testing, the data after compressing by various algorithms are shown in Figure 7.
Kortman, "Redundancy Reduction--- A Practical Method of Data Compression", Proceedings of the IEEE, 55(3), March 1967, pp. 253-263