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Based on the input data is impossible to determine the behavior of the real process using output values (measured situation).
This measured behavior is determined in parallel model with an associated of the same input data.
Fig. 2 Hybrid model for monitoring volume of liquid On-line reduction of state space Figure 3 shows on-line reduction, which represent a system located in critical state of tank overflow with subsequent discharge of liquid.
Based on input informations (sensor data, time data, hybrid model) computer periodically calculates all possible trajectories for a defined period of time and reduces all states.
Then we showed the example of on-line reduction of state space.

Main Technical Parameters ofφ382 DTH drill We to a large number of domestic and foreign materials at the forefront of DTH drill is introduced as the foundation, according to foreign 12-inch impacter and 15 inches high pressure data related to the product sample as well as the development of domestic φ382 (15 inches) paper summarizes DTH drill test data, and makes references to supporting the use of high pressure DTH drilling rig based numerical wind pressure, gas consumption, etc, its main technical parameters of limit index calculation is as follows: 2.1 Bit impact energy According to materials, drilling alloy tooth broken rock column, every minimal energy is 14 joule per tooth, inherit the maximum energy of 72 joules/tooth, the tooth bit each column energy can be in 14-72 (joules/teeth), the impact energy calculation is reliable.
Selection according to the data of 12 inches impacter, φ382 DTH drill impact frequency of f = 1000 times/min. 2.3 Bit impact on wave resistance of drill bits and reaction For drill bit broken rock power with the aid of kinetic energy from the percussive piston, produced by stress wave riveting on the drill body inlay alloy fractured rock.
Wasn't a shock failure process, is a kind of repeated impact, the overload fatigue, this requires the strength of the material and plastic toughness better comprehensive index, namely main body material fatigue limit, plasticity index, elongation, reduction of area) and plane strain fracture toughness (i.e., reflecting the material resists the ability of crack instability propagation speed).
Table 3 20CrMnSiNi2MoA Material Composition C Mn Cr Si Mo Ni P S V 0.17-0.22 1.21-1.52 0.32-0.44 1.32-1.72 0.31-0.44 1.64-2.10 ≤0.018 ≤0.018 0.11-0.16 Table 4 20CrMnSiNi2MoA Mechanical Properties Tensile Strength [MPa] yield Strength [MPa] Elongation [%] Reduction of Area [%] Impact Energy Akv [J] Hardness [HRC] ≥1608 ≥1180 ≥14 ≥48 ≥36 44-49 Developed by large diameter DTH drill material 20CrMnSiNi2MoA compared with similar foreign products materials of 4330 mod, and are shown in table 5: Table 5 20CrMnSiNi2MoA Material and 4330mod Material Comparison Table 20CrMnSiNi2MoA 4330mod Difference between Tensile Strength [MPa] 1608 1350 +258 yield Strength [MPa] 1180 1060 +120 Elongation [%] 14 17 -3 Reduction of Area [%] 48 54 -6 Impact Energy Akv [J] 36 60 -24 From table 5 shows that the development of new domestic large diameter high pressure DTH bit 20CrMnSiNi2MoA materials on the tensile strength and yield strength is higher than similar foreign products
Data of this study is to solve the production actual problem, and to promote the domestic and foreign related enterprise development of large diameter high pressure drill products, play a certain reference function. 5.

The combinatorial explosion removal is the most important reason for this reduction.
Direct evaluation of data from the technical process at the component level represents another advantage.
This means that the qualitative parameters are replaced with the exact values ​​of the measured data obtained from sensors and actuators.
According to the input data the behaviour of the real process can be determined using output values ​​(measured state).
The measured behaviour is affected by the parallelly assigned model with the same input data.

Inter-laminar fracture is a major concern for the performance of these structures because it can cause significant reduction in stiffness and promote overall structural failure.
Data Reduction Schemes Classical Methods.
In order to overcome these limitations, a data reduction scheme based on the crack-equivalent concept so called CBBM is used for evaluation which depends only on the specimen compliance during the test.
Data reduction schemes FEA model input =700 J/m2 =1500 J/m2 =50 MPa =70 MPa =50 MPa =70 MPa ECCM 696 702 1495 1520 DBT 685 688 1450 1466 CBT 632 649 1298 1356 CBBM 696 695 1493 1491 Lay-up: [0]24, L= 100 mm, B=20 mm, 2h=3.6 mm, =75 mm, =150 GPa, =11 GPa, =6 GPa, =0.25, =0.4 A numerical study was performed by de Moura and de Morais [4] to assess the adequacy of various data reduction schemes to evaluate (see Table 1).

Secondly, we design the system from three aspects including the process design, data management and indexes evaluation, respectively.
Second one is the data management.
We use SQL SERVER 2005 database system as data support.
Assess of the process and task node Real-time assessment of the current task node is allowed in the task implementation process to provide guidance for the next phase of task orientation. 5．Data and Information Management To store tasks, equipments, processes, task nodes, etc.
We use Microsoft Visual Studio as the programming environment, and the SQL SERVER 2005 database system as data support.

Based on mechanics theoretic and practical project model, in compliance with related international codes and standards, an analysis tool for skidshoe design is developed in this paper, which utilizes Excel computation sheet’s powerful data-handling capacity and Visual Basic’s friendly consistent interfaces.
Using Excel computation sheet’s powerful data-handling capacity and Visual Basic’s friendly consistent interfaces, a new analysis tool is developed for skidshoe design.
Fig. 10 Main user interface of tool Strength, Rigidity and Stability Checking of Skidshoe (refer with: Fig.11) For different projects, users only need to input relevant data for skidshoe checking, such as skidshoe size and reaction force of leg, have a choice in load condition and corresponding reduction factor.
Bearing Strength Checking of Bottom Plate (refer with: Fig.13) Fig. 13 User interface of local bending calculation For different projects, users need to input relevant data, such as span of webs and stiffeners, skidshoe parameter and reaction force of leg, have a choice in disturbing load factors.
After the inputting of relevant data, the formal calculation report of skidshoe will be generated automatically.

This article presents some experience of building crumb rubber concrete (CRC) test sites, and the data of on-site measurement with respect to slump and air content of fresh CRC samples.
Khatib and Bayomy [11] proposed a compressive strength reduction model of concrete mixes versus rubber content.
In this article, we will present what we observed and the data of on-site sampling.
Now, a quantity called relative reduction is defined by the formula: Relative reduction = -(latter-former)/former (1) When the pair of former and latter was replaced by the 28-day compressive strength for (Mix-2, Mix-1), (Mix-2, Mix-3), and (Mix-2, Mix-4), respectively, the relative 28-day strength reduction for the three pairs could be easily computed by this formula in Eq. (1).
Thus, in this case, it appears that crumb rubber effect on strength reduction is no more than what the AEA induced porosity may do to it.

Table1 Experimental data of austenite recrystallization fraction of steel bearing Nb under different heating temperature and reduction Number Heating temperature ℃ A stage deformation Temperature ℃ The actual amount of deformation l % Mean linear intercept Length /m Recrystallizatin Percentage l % 2111 1150 1050 7.5 113 5.0 2112 12.8 115 35.6 2113 17.5 89 40.1 2114 23.4 72 53.4 2115 27.8 81 61.5 2121 1200 1050 7.5 146 21.7 2122 12.8 121 37.9 2123 17.5 120 43.3 2124 23.4 108 51.6 2125 27.8 76 78.6 2131 1250 1050 7.5 164 3.6 2132 12.8 159 5.4 2133 17.5 155 6.0 2134 23.4 158 7.2 2135 27.8 150 8.5 We can see from Table 1, compared with a heating temperature of 1150 ° C ,under the same deformation conditions, when the heating temperature is 1200 ° C ,the austenite recrystallization percentage in the corresponding sample significantly improved; however,when the heating temperature is raised to 1250 ° C , recrystallization percentage in the sample reduced.
According to the different deformation temperature and deformation conditions, thought quantitative statistical data collation of deformation austenite recrystallization percentage of Nb-microalloyed steels, we obtain the trend curve about the influence of deformation temperature and the amount of deformation on a Nb micro-alloyed steel austenite recrystallization, as is shown in Figure 2,3.
the deformation temperature Recrystallizatin Percentage /% Fig.2 Effect of deformation temperature and reduction on the austenite recrystallizatio fraction of obtained by deformation at different temperature Mean linear intercept length / m Length / m （ soaking at 1250℃ for 20 minutes） The actual amount of deformation l % Fig.3 Effect of deformation temperature and reduction on the average austenite grain size by deformation at different temperature（ soaking at 1250℃ for 20 minutes） The influence of average amount of pass deformation on the recrystallization behavior of Nb-microalloyed steel.
Table1.2 Effect of reduction in pass on austenite recrystallization fraction and average austenite grain transversal length The average pass deformation amount Recrystallization percentage % The length of the average cross-sectional （mm） 11 0 81 16 4 82 20.6 4.5 73 As can be seen from Table 2, under our experimental conditions, with the increase in the amount of the actual average pass deformation, austenite recrystallization of Nb-microalloyed steels percentage increased slowly, but recrystallization percentage less than 10%,i.e., that the steel occurs only a small number of recrystallization (corresponding to the non-recrystallization region).

Technical Scheme Noise signals are tested and analyzed with the data acquisition and analysis system and the corresponding equipments will find noise characteristics and sources from the vehicle and the engine.
If the test data was not treated through A-weighted process, the high value will appear in low frequency as shown in Figure 5.
But further noise reduction has to be realized by revising other aspects like connection mode revision between power train and motorcycle frame, engine redesign and so on.
For further noise reduction, this part is very important.
But for further noise reduction, other parts must be improved

The relative influences of the thickness reduction, the roll radii, and the friction factors on the void length at the front and rear of the inclusion, respectively, are systematically examined.
Pan et al. [1] presented experimental data for the cold roll cladding of aluminum-stainless steel, copper-stainless steel and mild steel-stainless steel.
Figure 5 illustrates the influence of the reduction percentage on the relative void lengths at the exit for various friction factor ratios during the rolling of complex sheets containing inclusions.
It is clear that as the thickness reduction percentage increases, the relative void lengths at the front and rear of the inclusion, i.e.
This result is to be expected since a greater thickness reduction requires a higher load force at the roll gap, and this increased load force causes fracture voids around the inclusion.