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Online since: August 2023
Authors: Svitlana Fedchenko, Olha Nekora, Taras Shnal, Serhii Pozdieiev
As a result of the obtained experimental data, the temperature distributions were reproduced using the proposed interpolation method.
To eliminate these shortcomings, it is effective to use approaches that allow specifying the properties of concrete and reinforced concrete based on the generalization and interpretation of data obtained as a result of fire tests.
Calculation of the coefficient of reduction of concrete strength of a reinforced concrete cross-section by temperature in the inner layer: a – diagram of the division into layers of the cross-section of a reinforced concrete crossbar; b – the scheme of linear interpolation of the coefficient of reduction of the concrete strength of the reinforced concrete crossbar according to tabular data.
A methodology was developed and fire tests of a reinforced concrete beam were conducted using it, the measurement data of which allow implementing the proposed method of identifying the coefficient of concrete strength reduction. 2.
According to the data obtained during the fire tests, a refined dependence of the concrete strength reduction coefficient was obtained, which is the basis for improving the calculation method for assessing the fire resistance of reinforced concrete beams based on deformation models.
To eliminate these shortcomings, it is effective to use approaches that allow specifying the properties of concrete and reinforced concrete based on the generalization and interpretation of data obtained as a result of fire tests.
Calculation of the coefficient of reduction of concrete strength of a reinforced concrete cross-section by temperature in the inner layer: a – diagram of the division into layers of the cross-section of a reinforced concrete crossbar; b – the scheme of linear interpolation of the coefficient of reduction of the concrete strength of the reinforced concrete crossbar according to tabular data.
A methodology was developed and fire tests of a reinforced concrete beam were conducted using it, the measurement data of which allow implementing the proposed method of identifying the coefficient of concrete strength reduction. 2.
According to the data obtained during the fire tests, a refined dependence of the concrete strength reduction coefficient was obtained, which is the basis for improving the calculation method for assessing the fire resistance of reinforced concrete beams based on deformation models.
Online since: January 2011
Authors: Jun Fang Xiao, Yue Shun He
Data mining developed rapidly to meet this requirement.
Data mining is to extract knowledge and rules that are implicit, unknown and potential valued in decision-making from large database or data warehouse.
In the algorithm efficiency, through data compression the data that is mined can be scanned into memory once, avoiding duplication of disk I/O operations.
Conf.Very Large Data Bases(VLDB'06),pages 134-145, Bombay, India, Sep.2006
Data Engineering,Orlando,FL, Feb,2007,412-421.
Data mining is to extract knowledge and rules that are implicit, unknown and potential valued in decision-making from large database or data warehouse.
In the algorithm efficiency, through data compression the data that is mined can be scanned into memory once, avoiding duplication of disk I/O operations.
Conf.Very Large Data Bases(VLDB'06),pages 134-145, Bombay, India, Sep.2006
Data Engineering,Orlando,FL, Feb,2007,412-421.
Online since: March 2004
Authors: Wan Shan Wang, L.N. Hao, Wen Lin Chen, G.Y. Wu
Citation &
Copyright (to be inserted by the publisher )
Data Processing in Condition Monitoring Intelligent Modeling
L.N.
Rough Set (RS) theory that is a data processing tool of depicting incompleteness and uncertainty had been brought forward for developing automation rule generation system based on indiscernibility relation and knowledge reduction method by Pawlak Z [4-5].
Training Sample Data Set Reduction.
Constructing new learning sample set based on minimum condition attribute and original data; 8.
For adopting ANN to train the learning samples, data of failing to report can be dealt with. 3.
Rough Set (RS) theory that is a data processing tool of depicting incompleteness and uncertainty had been brought forward for developing automation rule generation system based on indiscernibility relation and knowledge reduction method by Pawlak Z [4-5].
Training Sample Data Set Reduction.
Constructing new learning sample set based on minimum condition attribute and original data; 8.
For adopting ANN to train the learning samples, data of failing to report can be dealt with. 3.
Online since: September 2013
Authors: Qin Feng Di, Chun Yuan Gu, Li Yi Shi, Jian Ping Zhang, Yi Chong Cheng
The ShUNP2-10 is a nanomaterial which was prepared for this drag reduction technology.
In the paper, we reported the surface properties and the drag reduction properties on the core surface.
The water phase permeability(WPP)was applied to evaluate drag reduction effect.
The measured datas of the fluxes and pressures were treated by regression method according to Darcy’s equation, so WPPs before and after displaced with ShUNP2-10 suspension were obtained, respectively [3].
It showed the ShUNP2-10 have significant drag reduction effect and very good practical value.
In the paper, we reported the surface properties and the drag reduction properties on the core surface.
The water phase permeability(WPP)was applied to evaluate drag reduction effect.
The measured datas of the fluxes and pressures were treated by regression method according to Darcy’s equation, so WPPs before and after displaced with ShUNP2-10 suspension were obtained, respectively [3].
It showed the ShUNP2-10 have significant drag reduction effect and very good practical value.
Online since: March 2014
Authors: Yang Ping Li, Shao Fen Zhong, Xiao Heng Pan, Hua Qiang Yuan
As to data trend, data sets grow not only
in size but in complexity.
Data Reduction.
The data flow in data analysis pipelines proceeds through several resources, starting from computational nodes that generate original data and produce their output data, through local and shared storage devices, to visualization clusters and accelerators for analysis, and display.
Data compression can thus be a viable solution for reducing data movement and the strain on storage resources [4].
Query-Driven Data Analytics.
Data Reduction.
The data flow in data analysis pipelines proceeds through several resources, starting from computational nodes that generate original data and produce their output data, through local and shared storage devices, to visualization clusters and accelerators for analysis, and display.
Data compression can thus be a viable solution for reducing data movement and the strain on storage resources [4].
Query-Driven Data Analytics.
Online since: July 2013
Authors: Li Zhang, Yi Zhang, Yu Hong He, Xin Ren You
We should continue to work on related technical standards, promotion policies, and requirements and support measures for the public transport industry, accelerate industrialization and marketing of hybrid vehicles of self-owned brands, and develop advanced system matching technology.
④ Developing intelligent transportation
The construction of intelligent transportation, use of modern communication and information technology such as highway electric toll collection (ETC) system, geographic information systems (GIS), and port electronic data interchange (EDI) are promoted vigorously [8].
Assessment and trend analysis of transport Energy Conservation & Emission Reduction.
Perspective on policy "bottlenecks" for energy saving and emission reduction of China's motor traffic.
Ways and experiences of European urban transport energy conservation and emission reduction.
Empirical study on management methods for energy conservation and emission reduction of transportation enterprise.
Assessment and trend analysis of transport Energy Conservation & Emission Reduction.
Perspective on policy "bottlenecks" for energy saving and emission reduction of China's motor traffic.
Ways and experiences of European urban transport energy conservation and emission reduction.
Empirical study on management methods for energy conservation and emission reduction of transportation enterprise.
Online since: August 2011
Authors: Zi Ran Liu, Yu Xi Yu, Yuan Yuan He, Tao He
The technology of wavelet noise reduction can not only suppress the signal’s noise, but also can overcome the shortcomings of conventional noise reduction methods.
Therefore, wavelet de-noising is a very effective noise reduction method.
By comparing the experimental data, this paper estimated the relationships between regulatory factors and SNR, RMSE are estimated, shown in Fig1 and Fig2.
Experimental procedures. (1) Programming under the CCS environment, and make the DSP reading the vibration test signal data that collected from headstock CA6140
(3) Use MATLAB to process the measured vibration signal for noise reduction
Therefore, wavelet de-noising is a very effective noise reduction method.
By comparing the experimental data, this paper estimated the relationships between regulatory factors and SNR, RMSE are estimated, shown in Fig1 and Fig2.
Experimental procedures. (1) Programming under the CCS environment, and make the DSP reading the vibration test signal data that collected from headstock CA6140
(3) Use MATLAB to process the measured vibration signal for noise reduction
Online since: May 2012
Authors: Xin Ping Su, Guang Kun Nie, Wei Xin Fan
Through the general data packet service [1] transmission method to collect the hydraulic characteristic information can be transmitted to computer, and then faults diagnosis.
The main idea of rough set theory is in the premise of maintaining the same classification ability, through knowledge reduction, decision making or classification to export issues rules and the reduction of which can be used for pre-processing on high-dimensional data to remove redundancy property, so as to achieve the purpose of dimensionality reduction in fault diagnosis, the use of rough set theory to specific monitoring and diagnostic data processing, diagnostic information can reduce redundancy, improve the diagnostic efficiency [2].
Forklift hydraulic system is characterized by relatively large parameters, not all selected; (3) Creating the relevant target data set (the original sample database), in other words, knowledge acquired data samples; (4) Data reduction, including attribute reduction, value reduction; (5) Mixing rule knowledge base generated.
Attribute reduction is equivalent to eliminate some unnecessary ranks from decision-marking table; attribute value reduction is eliminate some unnecessary attribute value from the table.
Decision-making table without any redundant information can be get by the manner of attribute reduction, value reduction, and shown as in table 4 ("*" indicates can not be considered).
The main idea of rough set theory is in the premise of maintaining the same classification ability, through knowledge reduction, decision making or classification to export issues rules and the reduction of which can be used for pre-processing on high-dimensional data to remove redundancy property, so as to achieve the purpose of dimensionality reduction in fault diagnosis, the use of rough set theory to specific monitoring and diagnostic data processing, diagnostic information can reduce redundancy, improve the diagnostic efficiency [2].
Forklift hydraulic system is characterized by relatively large parameters, not all selected; (3) Creating the relevant target data set (the original sample database), in other words, knowledge acquired data samples; (4) Data reduction, including attribute reduction, value reduction; (5) Mixing rule knowledge base generated.
Attribute reduction is equivalent to eliminate some unnecessary ranks from decision-marking table; attribute value reduction is eliminate some unnecessary attribute value from the table.
Decision-making table without any redundant information can be get by the manner of attribute reduction, value reduction, and shown as in table 4 ("*" indicates can not be considered).
Online since: October 2011
Authors: Yu Cheng Liu, Qiu Xia Li, Yong Cheng Liu
Firstly, the fluorapatite pyrolysis to CaO, CaF2, P2O5, Then the P2O5 carbothermal reduction into phosphorus, Jinrong Zhang[11] studies the reduction of carbothermal the process of fluorapatite and propose two mechanisms, one is direct carbothermal reduction of the fluorapatite to P2, CaF2, CaO, CO, the other is Ca3P2 and CaC2 begin to generate, then Ca3P2 and CaC2 reduction of the fluorapatite to phosphorus respectively.
The element content was studied by element analysis instrument. 3 Results and discussion 3.1 Thermodynamic analysis According to the data and formula in ref, the main reactions may occur as follows [13]: Ca5(PO4)3F+15C=3P2(g)+15CO(g)+9CaO+CaF2 (1) 2Ca5(PO4)3F+24C=3Ca3P2+24CO+CaF2 (2) Ca3P2+6C=3CaC2+P2(g) (3) 2Ca5(PO4)3F + 42C = 9 Ca3P2 + 24CO(g) + CaF2 + 3P2(g) (4) In addition, In the carbothermal reduction process of fluorapatite may react: Ca5(PO4)3F + 15CO(g) = 9CaO + CaF2 + 15CO2(g) + 3P2(g) (5) 2Ca5(PO4)3F+5CaC2=3P2(g)+10CO(g)+14CaO
The product of reduction rate listed in Fig.8 as the molar ratio and temperature increase, the reduction rate of P2O5 increase, when the temperature more than 1723K, the reduction rate of P2O5 is about 99%.
Mechanism of reduction of phosphorus ore [J].
Mechanism of reduction of phosphorus ore [D].
The element content was studied by element analysis instrument. 3 Results and discussion 3.1 Thermodynamic analysis According to the data and formula in ref, the main reactions may occur as follows [13]: Ca5(PO4)3F+15C=3P2(g)+15CO(g)+9CaO+CaF2 (1) 2Ca5(PO4)3F+24C=3Ca3P2+24CO+CaF2 (2) Ca3P2+6C=3CaC2+P2(g) (3) 2Ca5(PO4)3F + 42C = 9 Ca3P2 + 24CO(g) + CaF2 + 3P2(g) (4) In addition, In the carbothermal reduction process of fluorapatite may react: Ca5(PO4)3F + 15CO(g) = 9CaO + CaF2 + 15CO2(g) + 3P2(g) (5) 2Ca5(PO4)3F+5CaC2=3P2(g)+10CO(g)+14CaO
The product of reduction rate listed in Fig.8 as the molar ratio and temperature increase, the reduction rate of P2O5 increase, when the temperature more than 1723K, the reduction rate of P2O5 is about 99%.
Mechanism of reduction of phosphorus ore [J].
Mechanism of reduction of phosphorus ore [D].
Online since: January 2012
Authors: Wei Min Zhang, Ya Wei Zhang
Modeling of test stand of feed drive system for CNC machine tool by FEM
The test stand was composed of ball screw( ball bearing spindle, ball screw nut, fixed bearing, floating bearing) made by Company Boschrexroth according to DIN 69051, Teil 1, shaft coupling and roll rail guide made by company KTR, three-phase current servomotor 1FT made by company Siemens, which has a group of planet gears with ratio 10, showed as following figure. 1, and the technical data is shown by table.1 as following: This construction of test stand has the advantage that the moment of the servo motor can be transferred thought coupling direct into the screw .
Thus, structure preserving model reduction is considered.
The reduction’s effectiveness and reliability depends on the size of.
The comparison of model reduction methods in FEM simulation The model reduction methods, which include Reduced Method, Subspace Method, Block Lanczos Method, etc, are often applied in FEM simulation.
Those model reduction methods are applied for the transmission system for CNC machine as fig.1.
Thus, structure preserving model reduction is considered.
The reduction’s effectiveness and reliability depends on the size of.
The comparison of model reduction methods in FEM simulation The model reduction methods, which include Reduced Method, Subspace Method, Block Lanczos Method, etc, are often applied in FEM simulation.
Those model reduction methods are applied for the transmission system for CNC machine as fig.1.