Search results

Besides, another valuable advantage of using MW was the dramatic reduction in reaction times: from days and hours to minutes and seconds [3,4].
The strength and elongation data was recorded by the microcomputer.
The data was statistically treated by analysis of variance (ANOVA).
According to the data of tensile properties in the first 20 minutes, TS and E both increased as the treatment extended, this effect may be attributed to the decrease of the particle size and the increase of interactions between molecules.

Through noise reduction processing and extracting the feature information of interest is the key to gear fault diagnosis, the common used methods is spectrum, cepstrum , neural network and wavelet research is also growing.As mostly all methods need the feature extraction of original signal, the original signal in rich information were lost.
The raw data is firstly converted into a probability box and then probability boxes are fused.
The raw data is firstly converted into a probability box and then probability boxes are fused.
In term of normal gear signal ,fault feature extraction and the original acquisition data,this section respectively discusses corresponding probability box modeling method on three different levels .The model as follows: Fig.1 The flow chart of gear fault modeling method based on probability box theory 4 the Application Prospects of Fault Diagnosis Method of Gear Base on Probability Box Theory In understanding the general gear fault diagnosis method, probability box theory and the practical application of probability box theory , combining with the research work of this paper, the author thinks that still need further research in the following respects: 1) Take maximum advantage of the probability box theory further, that is to say strong inclusive of subjective and objective uncertainty, fusing gear box fault signal measured by different direction sensor. 2) In term of gear fault diagnosis, deepening the probability box modeling methods, exploring the

Thus, based on those researches, according to the measured data of Datong-Qinhuangdao Heavy-haul line, the representative profiles of wheels and rails are selected to establish the three dimensional contact finite element method (FEM) models and dynamic models.
Their wheel profiles datum contain the wheel profiles of each stage which includes the profiles from the standard one to the one worn to the limit.
Five typical wheel profiles are selected from these wheel profiles datum as shown in Figure 1.
From the statistical data in the Table 3, it is known that the value of lateral ride index is improved with the abrasion increase.
According to the calculation results, some conclusions can be drawn as follows: (1) When contacting with the standard rail on straight line, the maximum equivalent stress between the wheel and rail is decreased and then increased with the reduction for the abrasion of wheel profiles.

Introduction Using high-quality thermal insulating materials, correct composition of building structures and, last but not least, additional thermal cladding applied to the existing structures play a key role in reduction of energy demand of buildings, which leads to improvement of end-use properties of buildings one the one hand (primarily in the area of interior properties) and to restriction of emission of greenhouse gases, soot and dust, which has a direct influence on improvement of the environment.
Simultaneously with the measurements, a computer simulation using WUFI computing software was carried out; measured hygrothermal characteristics (see above) were used as entry material parameters and practical measured climate data were used for boundary condition creation.
The data obtained during measurements proved that the properties of an insulating boards made of organic fibres are fully comparable with insulating boards made of other materials.
Data from the measurements and practical experiments demonstrated real behavior of newly developed materials after built-in to the structure and high correlation between theoretical model and real behavior of structure was proved.

Chemical reactions between the nickel powder and aluminum powder may occur, as follows: Ni+Al=NiAl (4) Ni+Al=NiAl3 (5) Ni+Al=Ni2Al3 (6) Ni+Al=Ni3Al (7) Look-up table may be obtain corresponding thermodynamic data of the reactants and the product , calculating Gibbs free energy of the reaction product , as shown in Fig. 2: Fig.2 Relationship between Gibbs free energy and temperature of in-situ Ni-Al/ Al reinforced aluminum matrix composite According to the above thermodynamic analysis, generating particulate reinforced NiAl phase is thermodynamically feasible by In-situ reaction.
During the reaction process, The consumption rate of Ni can be expressed by the reduction in volume: (10) In the Eq. 10, MNi: the molar mass of nickel, unit: kg/mol; ρNi: the density of nickel, unit: kg/m3.For the reaction: Ni+Al=NiAl (11) Eq. 9 and 10 into 11: (12) The Eq. 12 takes the integral: (13) In the Eq. 13, r0: the initial radius of the Ni particles, unit: m.
[8] Yingjiao Liang and Yinchang Che: Inorganic Thermodynamic Data Sheet(Northeastern University Press, ShenYang 1993)
[9] Dalun ye and Jianhua Hu: Practical Inorganic Thermodynamic Data Sheet(Metallurgical Industry Press, BeiJing 2002)

After that, the modal reduction process prior to the dynamic analysis is preceded using the ABAQUS software.
Selecting the indicator diagram data for rated speed 2300r/min of the diesel engine as the boundary of the initial conditions, the EXCITE software can generate the piston load applied to each piston, each combustion chamber pressure load, and the reaction torque of the crankshaft output automatically according to each cylinder firing order.
Figure 1 shows the indicator diagram data for rated speed 2300r/min where the 0 deg crank angle means that the piston is at TDC of the compression stroke.
Pressure data for rated speed Then dynamics calculations using the cylinder pressure values which shown in Figure 2 are carried out.

Direct-driven generators are favoured for the small VAWTs due to reduction in losses in the drive train and less noise.
The operation sequence controller releases the brake system and then periodically checks data measured from sensors after turning the VAWT on.
A PLC controls the brake system and the VSCs based on the data measured from sensors including an anemometer, an inductive proximity sensor, voltmeters, and current sensors.
The measurement data were synchronously recorded and applied to calculate average wind speeds and average power per hour.

While previous video coding standard focused on compressing fixed resolution video data as a single bitstream, H.264/SVC can compress several different resolution video data as a single bitstream.
For the training process, the modes of neighboring MBs xn, yn are inputted as training data. xn is the observation vector , which is composed of five variables MA, MB, MC, MD and ME, representing the modes of the five neighbors, separately. yn is the checking vector, which is composed of variable MX, representing the modes of the current macroblock X.
Simulation result of spatial scalability Parameters are listed below: NumLayers = 2; Resolution = QCIF for base layer; and resolution = CIF for enhancement layer; Motion search range = 16; GOP size = 16; MV resolution = 1/4 pel; QP = 32 for base layer; and QP =34, 36 for enhancement layer; Frame out rate = 30 HZ; Total number of encoded frames = 50 Table.4 Simulation results of the proposed algorithm and algorithm in [5] Sequence Proposed algorithm Algorithm in [5] BDSNR(db) BDBR(%) TS(%) BDSNR(db) BDBR(%) TS (%) BUS -0.0649 0.25 30.70 -0.083 1.48 31.27 CITY -0.0351 0.081 30.71 -0.107 1.13 50.31 CREW -0.0477 -0.21 28.13 -0.173 1.32 45.48 FOOTBALL -0.0478 0.12 25.26 -0.072 0.42 17.26 FOREMAN -0.0345 0.16 45.08 -0.093 1.78 52.27 HARBOUR -0.0523 -0.088 24.72 -0.071 0.79 41.52 MOBILE -0.0922 -0.17 31.43 -0.005 0.09 0.61 SOCCER -0.0665 -0.022 24.85 -0.051 0.33 18.63 As shown in table.4 our algorithm has very less BDSNR loss, and in BDBR the increment is so low, while the time reduction

Intelligent power system can guide the customers to use the electricity scientifically and reasonable, improve power use efficiency of equipment, and further improve the whole social energy use efficiency, promote energy-saving emission reduction and environmental protection [1].
Meanwhile, it has the function of data acquisition and analysis of equipment states in real-time, which can guide the consumers to use electricity reasonable and orderly.
The protocol must contain the frame transmission direction (source and destination), the frame type, and the device command or status information, while also take into account the data error problems in transmission.
Equipment state monitoring module is responsible for collecting electrical equipment electricity information, including the temperature, illumination sensor information collection in real-time, and intelligent socket statistic data in different room, such as voltage, current, power and power consumption.

The thermocouple voltage outputs were fed into a data acquisition system and then recorded via a personal computer.
Data reduction The goal of this study Reynolds number based on the duct hydraulic diameter is given by (1) The average heat transfer coefficients are evaluated from the measured temperatures and heat inputs.
The data obtained of Nu and f values are compared at similar pumping power.