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Online since: February 2013
Authors: Li Ning Wu, Yong Tao Shen, Jian Hua Zhang, Zong Qi Liu, Jie Ji, Meng Si Tan
(1) Data preprocessing.
Among large numbers of history wind speed data which is influenced by various factors, there are also some abnormal data.
Analysis of Examples Based on the wind speeds in reference [10] as historical data ( sampling one point every 10 minutes), this paper uses the method of processing data in reference [10], utilizes SAS software to search and revise singular values and missing values of the data, thus getting comparatively accurate data.
Considering the data quantity is relatively less, this paper only analyzes and revises the 1-hour-forecast data.
Based on the fitting data of wind speed time series model, it can be seen that the last historical data point was in state 4.
Among large numbers of history wind speed data which is influenced by various factors, there are also some abnormal data.
Analysis of Examples Based on the wind speeds in reference [10] as historical data ( sampling one point every 10 minutes), this paper uses the method of processing data in reference [10], utilizes SAS software to search and revise singular values and missing values of the data, thus getting comparatively accurate data.
Considering the data quantity is relatively less, this paper only analyzes and revises the 1-hour-forecast data.
Based on the fitting data of wind speed time series model, it can be seen that the last historical data point was in state 4.
Online since: August 2014
Authors: Lei Ye, Yuan Chao Song, Cheng Huang Li, Ling Wu
The paper presents a method for identify fault section in distribution network, which uses the traveling wave data recorded at the substation only.
This paper presents a new single-end fault section estimation method in distribution system using wavelets, which just utilizes the traveling wave data recorded at substation to identify the fault section.
The sample frequency is up to 10MHz, and every simulation will reserve sampling data in 4ms period which contains 1ms data before fault and 3ms post-fault data.
Conclusion The paper presents a single-end method to identify the fault section in distribution network, which uses the traveling wave data recorded at the substation only.
Matsushima, Development of a new fault locator using the one-terminal voltage and current data, IEEE Trans.
This paper presents a new single-end fault section estimation method in distribution system using wavelets, which just utilizes the traveling wave data recorded at substation to identify the fault section.
The sample frequency is up to 10MHz, and every simulation will reserve sampling data in 4ms period which contains 1ms data before fault and 3ms post-fault data.
Conclusion The paper presents a single-end method to identify the fault section in distribution network, which uses the traveling wave data recorded at the substation only.
Matsushima, Development of a new fault locator using the one-terminal voltage and current data, IEEE Trans.
Online since: April 2014
Authors: Yong Yong Zhang
Research contents
Firstly, through consulting data and sampling methods, we determine the amount of fresh water of offshore drilling platform on one day, and the minimum water production capacity should be determined; and determine the structural frame work platform sea area near the stable system and weather related natural factors (example: wind speed, wave height, wave cycle).The related natural factors in each season the working platform nearby the offshore drilling platform should be determined.
Secondly, according to the analysis of survey results and data, we calculate the dilution tank capacity and the minimum pressure to bear; designing shape of floater , the determination of its size, the reasonable selection of materials, rational design of the wave shape, determine the size, screening materials; reasonable arrangements for the design of negative pressure fresh water conversion device installation.
Fourthly, we calculate the minimum driving force, the average working distance of float and power of the pump by the data Fifthly, we considering the various data, then testing weather design of the device is very reasonable through the reasonable calculation; And according to the minimum driving force and float force, we calculate parameters of intermediate transmission mechanism, the design efficient transmission device; by considering the proper placement of solar energy device.
Through the water thermodynamic relation, under low pressure, then saturation temperature is low , and corrosion rate is slow, In its background of advocating energy-saving emission reduction policies , the device have a profound effect.
Secondly, according to the analysis of survey results and data, we calculate the dilution tank capacity and the minimum pressure to bear; designing shape of floater , the determination of its size, the reasonable selection of materials, rational design of the wave shape, determine the size, screening materials; reasonable arrangements for the design of negative pressure fresh water conversion device installation.
Fourthly, we calculate the minimum driving force, the average working distance of float and power of the pump by the data Fifthly, we considering the various data, then testing weather design of the device is very reasonable through the reasonable calculation; And according to the minimum driving force and float force, we calculate parameters of intermediate transmission mechanism, the design efficient transmission device; by considering the proper placement of solar energy device.
Through the water thermodynamic relation, under low pressure, then saturation temperature is low , and corrosion rate is slow, In its background of advocating energy-saving emission reduction policies , the device have a profound effect.
Online since: December 2013
Authors: Xue Yan Hu, Yong Zhong Ma, Ya Lin Ye, Ning Shan, Feng Chen Qian
Results show that the method could not only reduce the geometry data volume of point models directly, but also reduce the sampling point number without debasing the numerical precision of the model geometry data, so as to further reduce data volume of point model.
Introduction At present, the 3D model obtained by scanners contains large sampling point set, which leads to unmanageable problems with large amount of data in the data processing procedures.
With the increasing of data size of the obtained sampling point set, the grid operation is becoming more and more difficult.
Therefore, the establishment of multiresolution data structure based directly on sampling point set data in 3D data processing must be considered.
Results show that the method could not only reduce the geometry data volume of point models directly, but also reduce the sampling point number without debasing the numerical precision of the model geometry data, so as to further reduce data volume of point model.
Introduction At present, the 3D model obtained by scanners contains large sampling point set, which leads to unmanageable problems with large amount of data in the data processing procedures.
With the increasing of data size of the obtained sampling point set, the grid operation is becoming more and more difficult.
Therefore, the establishment of multiresolution data structure based directly on sampling point set data in 3D data processing must be considered.
Results show that the method could not only reduce the geometry data volume of point models directly, but also reduce the sampling point number without debasing the numerical precision of the model geometry data, so as to further reduce data volume of point model.
Online since: May 2012
Authors: Cheng Bo Zhai, Xian He Weng, Bao Fu Duan
Conventional GM (1, 1) model for long-term data to predict accuracy is not high, but metabolism GM (1, 1) model can be made up for conventional GM (1, 1) model of this one defect [1, 2].
Consider continuous differential equation, we can get the cloud forecasting model of system, (3) The solution of this differential equation is: (4) So the reduction solution (discrete form) of the single factor system cloud gray SCGM (1, 1) model is: (5) In this paper, we predicted the stress and camber of bridge by establishing the SCGM (1, 1) model with equal dimension and new information.
Set a SCGM (1, 1) model, after accumulating x(0)and we can get this sequence: X(1)= (0.868, 1.840, 2.792, 3.732, 4.719), then we can get the reduction solution R(0)(k)=30.709709×(1-e-0.029434)× e0.029434(k-1), R(0)=( 0.891, 0.917, 0.945, 0.973, 1.002, 1.032), so predict stress value is Z(6) = R(0)(k)Y(6) =1.032×10.34=9.79MPa, The result error is e=-4.406%.
For control the elevation of the box girder top surface in the construction process, we take the ratio of the measured data and theoretical camber value as raw data sequence in building model, to predict the camber of next section.
In order to ensure the accuracy of the measurement data, we should pay attention to measuring method and the selection of measurement instruments in construction control.
Consider continuous differential equation, we can get the cloud forecasting model of system, (3) The solution of this differential equation is: (4) So the reduction solution (discrete form) of the single factor system cloud gray SCGM (1, 1) model is: (5) In this paper, we predicted the stress and camber of bridge by establishing the SCGM (1, 1) model with equal dimension and new information.
Set a SCGM (1, 1) model, after accumulating x(0)and we can get this sequence: X(1)= (0.868, 1.840, 2.792, 3.732, 4.719), then we can get the reduction solution R(0)(k)=30.709709×(1-e-0.029434)× e0.029434(k-1), R(0)=( 0.891, 0.917, 0.945, 0.973, 1.002, 1.032), so predict stress value is Z(6) = R(0)(k)Y(6) =1.032×10.34=9.79MPa, The result error is e=-4.406%.
For control the elevation of the box girder top surface in the construction process, we take the ratio of the measured data and theoretical camber value as raw data sequence in building model, to predict the camber of next section.
In order to ensure the accuracy of the measurement data, we should pay attention to measuring method and the selection of measurement instruments in construction control.
Online since: November 2010
Authors: Jaroslav Polák, Tomáš Podrábský, Simona Hutařová, Martin Juliš, Karel Obrtlík
Application of Pt modified Al diffusion coating to CMSX-4
single crystals resulted in fatigue life reduction at 500 °C and in fatigue life increase at 900 °C [4].
More thorough data on fatigue behavior of the untreated material are reported elsewhere [7,8].
Experimental data were fitted by the Manson-Coffin law log 2Nf = (1/c) log εap - (1/c) log fε,
Experimental data are fitted by the Basquin law Fig. 1.
Experimental data were approximated by the power law log σa = log K´ + n´ log εap
More thorough data on fatigue behavior of the untreated material are reported elsewhere [7,8].
Experimental data were fitted by the Manson-Coffin law log 2Nf = (1/c) log εap - (1/c) log fε,
Experimental data are fitted by the Basquin law Fig. 1.
Experimental data were approximated by the power law log σa = log K´ + n´ log εap
Online since: May 2012
Authors: Philippe Godignon, Amador Pérez-Tomás, Michael R. Jennings, Angus T. Bryant, Pierre Brosselard, Craig A. Fisher, Peter Michael Gammon, Philip Andrew Mawby
An increased value of h corresponds to a reduction in emitter width or doping, and reduces the amount of stored charge near that junction.
As well as comparison with experimental data, finite element simulations have been used to validate physical models used in the diode electro-thermal model as well as to investigate dynamic device behavior.
It can be seen that the simulation output closely matches experimental data, though a discrepancy remains in that the final current tail is not captured by the model.
Finite element simulation results have indicated that this is due to the reduction in carrier drift velocity after most of the charge is removed from the base region, resulting in a longer transit time and thus the current tail characteristic at turn-off.
This model has resulted in improved matching of device power losses whilst reducing the amount of empirical data employed for simulations, thus facilitating efficient and accurate prediction of device power losses in power electronics circuit applications.
As well as comparison with experimental data, finite element simulations have been used to validate physical models used in the diode electro-thermal model as well as to investigate dynamic device behavior.
It can be seen that the simulation output closely matches experimental data, though a discrepancy remains in that the final current tail is not captured by the model.
Finite element simulation results have indicated that this is due to the reduction in carrier drift velocity after most of the charge is removed from the base region, resulting in a longer transit time and thus the current tail characteristic at turn-off.
This model has resulted in improved matching of device power losses whilst reducing the amount of empirical data employed for simulations, thus facilitating efficient and accurate prediction of device power losses in power electronics circuit applications.
Online since: May 2014
Authors: Xian Sui Han, Qi Hui Liu
Till now, some meaningful studies have been made on the modeling of wind turbine, the DFIG system can be simplified in order to save computational time or to eliminate hard to obtain data.
It is also shown that the reduction/simplification of the model of converter and induction machine does not notably influence DFIG transient response.
The accuracy of the generic models will be studied by comparing simulation results with measurement data provided by manufacturers.
Assessment of DFIG simplified model parameters using field test data[C] .Power Electronics and Machines in Wind Applications (Chicago,America ,December16-18,2012),pp.1-7
[6]M.signh,K.Faria.Validation and Analysis of Wind Power Plant Models Using Short-Circuit Field Measurement Data[C].Power Energy Society General Meeting IEEE, (Detroit,America ,July24-29,2009),pp.1-6
It is also shown that the reduction/simplification of the model of converter and induction machine does not notably influence DFIG transient response.
The accuracy of the generic models will be studied by comparing simulation results with measurement data provided by manufacturers.
Assessment of DFIG simplified model parameters using field test data[C] .Power Electronics and Machines in Wind Applications (Chicago,America ,December16-18,2012),pp.1-7
[6]M.signh,K.Faria.Validation and Analysis of Wind Power Plant Models Using Short-Circuit Field Measurement Data[C].Power Energy Society General Meeting IEEE, (Detroit,America ,July24-29,2009),pp.1-6
Online since: March 2024
Authors: Ratchaporn Srichan, Supaporn Mala, Sroisiri Thaweboon, Boonyanit Thaweboon
Data from this study provides the first scientific evidence to demonstrate the benefits of using artificial saliva containing vanillin to maintain healthy gums and accelerate oral wound healing.
The reduction of salivary flow enhances the risk of dental caries and other infections in the oral cavity.
data expressed as the mean number of cell migration + SD *significant difference from control a) control without vanillin b) 0.25% w/v vanillin c) 1% w/v vanillin d) 4% w/v vanillin Fig.1.
In diabetic rat models, the inclusion of vanillin in the chitosan membrane was shown to improve the healing process by a reduction in wound size, an increase in collagen deposition, and re-epithelialization [9].
Summary Data from this study provides scientific evidence to demonstrate the benefits of using artificial saliva containing vanillin to maintain healthy gums and accelerate oral wound healing.
The reduction of salivary flow enhances the risk of dental caries and other infections in the oral cavity.
data expressed as the mean number of cell migration + SD *significant difference from control a) control without vanillin b) 0.25% w/v vanillin c) 1% w/v vanillin d) 4% w/v vanillin Fig.1.
In diabetic rat models, the inclusion of vanillin in the chitosan membrane was shown to improve the healing process by a reduction in wound size, an increase in collagen deposition, and re-epithelialization [9].
Summary Data from this study provides scientific evidence to demonstrate the benefits of using artificial saliva containing vanillin to maintain healthy gums and accelerate oral wound healing.
Online since: January 2013
Authors: Huai Ying Zhou, Zhong Min Wang, Jian Cui, Feng Lei Liu, Pei Bang Dai, Ran Chen
The adsorption data could be well fitted by pseudo-second-order rate model.
The results show that adsorption experimental data of PT to Cr(VI) could be well fitted by the classic Freundlich equation, as shown in Fig.3.
There is a strong correlation coefficient higher than 0.999 between the fitting function and experimental data.
Oxidation-reduction reactions also usually happened at this time.
The process was controlled by chemical adsorption, mainly including oxidation-reduction and chelation reactions.
The results show that adsorption experimental data of PT to Cr(VI) could be well fitted by the classic Freundlich equation, as shown in Fig.3.
There is a strong correlation coefficient higher than 0.999 between the fitting function and experimental data.
Oxidation-reduction reactions also usually happened at this time.
The process was controlled by chemical adsorption, mainly including oxidation-reduction and chelation reactions.