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Online since: September 2013
Authors: Fang Li, Li Fang Wang, Cheng Lin Liao
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.
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.
Online since: January 2013
Authors: David Bečkovský, Tereza Kalábová, Vladimír Tichomirov, Milan Ostrý
In order to collect climatic data, a meteorological station Huger WMR 918N [2] was installed on the roof of the Institute of Building Structures.
Based on the analysis of the acquired data the location of thermocouple interior air temperature sensors was adjusted.
An analysis of the acquired data revealed that PCM have a positive impact on the thermal stability of a room.
If phase change occurs repeatedly in PCM during the heating season, reduction of temperature amplitudes of air in the interior occurs even here too.
Based on the analysis of the acquired data the location of thermocouple interior air temperature sensors was adjusted.
An analysis of the acquired data revealed that PCM have a positive impact on the thermal stability of a room.
If phase change occurs repeatedly in PCM during the heating season, reduction of temperature amplitudes of air in the interior occurs even here too.
Online since: July 2015
Authors: Ji Hai Jiang, Cun Ran Zhao, Chong Ke
Test Design
Test rig
The test rig consists of reciprocating wear rig, data collection system, and relevant software, as shown in Fig.1.
Surface roughness of hard specimens μm 0.2 0.4 0.8 Table 4 Orthogonal array Num. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 A 1 1 1 1 1 1 1 1 1 2 2 2 2 2 B 1 1 1 2 2 2 3 3 3 1 1 1 2 2 C 1 2 3 1 2 3 1 2 3 1 2 3 1 2 D 1 2 3 2 3 1 3 1 2 1 2 3 2 3 Num. 15 16 17 18 19 20 21 22 23 24 25 26 27 A 2 2 2 2 3 3 3 3 3 3 3 3 3 B 2 3 3 3 1 1 1 2 2 2 3 3 3 C 3 1 2 3 1 2 3 1 2 3 1 2 3 D 1 3 1 2 1 2 3 2 3 1 3 1 2 Data Analysis Analysis of variance (ANOVA) This paper introduces the analysis of variance to estimate the magnitude of error.
The equation is listed below, where n is the number of test; y is observed data
Application of DLC Coating in Cylinder Liners for Friction Reduction[A].
Surface roughness of hard specimens μm 0.2 0.4 0.8 Table 4 Orthogonal array Num. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 A 1 1 1 1 1 1 1 1 1 2 2 2 2 2 B 1 1 1 2 2 2 3 3 3 1 1 1 2 2 C 1 2 3 1 2 3 1 2 3 1 2 3 1 2 D 1 2 3 2 3 1 3 1 2 1 2 3 2 3 Num. 15 16 17 18 19 20 21 22 23 24 25 26 27 A 2 2 2 2 3 3 3 3 3 3 3 3 3 B 2 3 3 3 1 1 1 2 2 2 3 3 3 C 3 1 2 3 1 2 3 1 2 3 1 2 3 D 1 3 1 2 1 2 3 2 3 1 3 1 2 Data Analysis Analysis of variance (ANOVA) This paper introduces the analysis of variance to estimate the magnitude of error.
The equation is listed below, where n is the number of test; y is observed data
Application of DLC Coating in Cylinder Liners for Friction Reduction[A].
Online since: July 2015
Authors: Young Suk Kim, Duy Tung Do, Dae Cheol Ahn, Dong Woo Shin
Introduction
The carbon fiber reinforced plastic (CFRP) has recently received great attention from the auto industry as a light material to meet the CO2 reduction regulations despite the high cost of material.
Fig. 11 Experimental data of different orientations with sheet type 2 Fig. 12 Experimental data of different punch velocities with sheet type 2 Hashin damage in macro-scale simulation Because the fibers mostly govern the overall forming characteristics of CFRP, so the failure of CFRP is determined by fiber failure and the matrix failure modes are neglected.
The FEM simulation results with both different scales matched well with experimental data.
Fig. 11 Experimental data of different orientations with sheet type 2 Fig. 12 Experimental data of different punch velocities with sheet type 2 Hashin damage in macro-scale simulation Because the fibers mostly govern the overall forming characteristics of CFRP, so the failure of CFRP is determined by fiber failure and the matrix failure modes are neglected.
The FEM simulation results with both different scales matched well with experimental data.
Online since: January 2013
Authors: Song Ling Wang, Lei Zhang, Chen Xing Hu, Shou Fang Liang
Therefore, even if to improve very small fan efficiency, it will certainly have great practical significance of energy saving and emission reduction[2].
Parametric calculation platform function mainly includes three parts: parametric modeling module, calculation module and data processing module.
A series of operations before calculation, such as the read of mesh files, the set of initial conditions and model solver can be conducted in computing module until the user confirms calculation and finally obtains the data file.
The results in which user is interested can be extracted through post-processing module, and the data such as fan total pressure, efficiency, shaft power can be obtained and exported to a spreadsheet for follow-up treatment after simple calculation.
Parametric calculation platform function mainly includes three parts: parametric modeling module, calculation module and data processing module.
A series of operations before calculation, such as the read of mesh files, the set of initial conditions and model solver can be conducted in computing module until the user confirms calculation and finally obtains the data file.
The results in which user is interested can be extracted through post-processing module, and the data such as fan total pressure, efficiency, shaft power can be obtained and exported to a spreadsheet for follow-up treatment after simple calculation.
Online since: January 2014
Authors: Di Ming Lou, Tian Yu Shen, Yi Zhou, Pi Qiang Tan, Qiang Qiang, Zhi Yuan Hu
In order to reduce the impact of test error , measure continuously exhaust particle number and particle size distribution parameters for 60 seconds of every ESC condition, and average the data.
Under 2000 r/min and 2200 r/min conditions, the particle number concentration of BD5, BD20, BD50 are higher than D100, after removal of these data, compared with D100, the particle number concentrations of BD5, BD10, BD20, BD50, BD100 decrease averagely 21%, 21%, 13%, 15% and 70%.
Under load conditions of 2200r/min, after removal of individual data, compared with D100, the particle number concentrations of BD5, BD10, BD20, BD 50 and BD100 decrease averagely 23%, 28%, 27% , 40% and 48%.
Compared with D100, only BD20 has obvious reduction under all conditions.
Under 2000 r/min and 2200 r/min conditions, the particle number concentration of BD5, BD20, BD50 are higher than D100, after removal of these data, compared with D100, the particle number concentrations of BD5, BD10, BD20, BD50, BD100 decrease averagely 21%, 21%, 13%, 15% and 70%.
Under load conditions of 2200r/min, after removal of individual data, compared with D100, the particle number concentrations of BD5, BD10, BD20, BD 50 and BD100 decrease averagely 23%, 28%, 27% , 40% and 48%.
Compared with D100, only BD20 has obvious reduction under all conditions.
Online since: November 2007
Authors: Kee Do Woo, De Liang Zhang, I.B. Lee, I.Y. Kim
Exo
Endo Exo
Endo
Fig. 4 DTA cooling curves of as- mixed (a)
and as-milled (b) powders.
29.5mm29.5mm
Fig.5 Photos of the sintered specimen at 900℃ for 2h
using as-mixed (a) and 4h-milled (b) powders.matrix appears due to the reduction of SiO2 particle.
Table 1 Image analyzed data of Fig.7 Specimen Volume fraction of Al2O3 (%) Average Al2O3 size(µm) Relative density (%) As-mixed 13 2.7 96 4h-milled 17 1.6 98 4.
The fine Al2O3 particles are Fig.6 XRD data of the sintered specimens at 950℃ for 2h using 4h-milled (a) and as-mixed (b) powder.
Fig.6 XRD data of the sintered specimens at 950℃ for 2h using 4h-milled (a) and as-mixed (b) powder.
Table 1 Image analyzed data of Fig.7 Specimen Volume fraction of Al2O3 (%) Average Al2O3 size(µm) Relative density (%) As-mixed 13 2.7 96 4h-milled 17 1.6 98 4.
The fine Al2O3 particles are Fig.6 XRD data of the sintered specimens at 950℃ for 2h using 4h-milled (a) and as-mixed (b) powder.
Fig.6 XRD data of the sintered specimens at 950℃ for 2h using 4h-milled (a) and as-mixed (b) powder.
Online since: September 2013
Authors: Qing Xiong, Wei Hua Zhang, Gui Ming Mei
Analysis of simulation and actual data show that this method is effective and practical.
Fig.1 (c) is the time-delayed autocorrelation function of original signal, form it we can obviously see the noise reduction feature.
Experimental validation Bearing fault data comes from the Case Western Reserve University electrical engineering laboratory [7].
References [1] Tao Meng, Mingfu Liao: Detection and Diagnosis of the Rolling Element Bearing Fault by the Delayed Correlation-Envelope Technique .Vol. 25 (2004), p. 41 [2] Hui Sun, Shanan Zhu: Hilbert-Huang transform demodulation based on delayed autocorrelation pretreatment .Vol. 30 (2005), p. 1998 [3] Zhaohua Wu, N E Huang:Ensemble empirical mode decomposition: a noise-assisted data analysis method.
Fig.1 (c) is the time-delayed autocorrelation function of original signal, form it we can obviously see the noise reduction feature.
Experimental validation Bearing fault data comes from the Case Western Reserve University electrical engineering laboratory [7].
References [1] Tao Meng, Mingfu Liao: Detection and Diagnosis of the Rolling Element Bearing Fault by the Delayed Correlation-Envelope Technique .Vol. 25 (2004), p. 41 [2] Hui Sun, Shanan Zhu: Hilbert-Huang transform demodulation based on delayed autocorrelation pretreatment .Vol. 30 (2005), p. 1998 [3] Zhaohua Wu, N E Huang:Ensemble empirical mode decomposition: a noise-assisted data analysis method.
Online since: November 2015
Authors: Ahmad Faizal Ahmad Fuad, Asmawi Abdul Malik, Mohd Zamani Ahmad, Nur Hanani Ahmad Azlan, Azura Ahmad Radzi
Result of analysis data
No
Variables
Executed Data (wave height/wave period)
zero loading
half loading
full loading
4 s
5 s
7 s
9s
4 s
5 s
7 s
9s
4 s
5 s
7 s
9s
1
Wave Height
0.40
2.60
3.40
5.26
0.4
2.6
3.4
5.26
0.4
2.6
3.4
5.26
2
Wave Length
24.98
39.03
76.51
126.47
24.981
39.03
76.51
126.47
24.98
39.03
76.51
126.47
3
Heave Amp.
The MVS has produced results in the form of table, graph and motion animation of the input data analysis as of FORT loading operations, wave period and wave amplitude.
The damping levels give to the reduction in FORT resonant drift motion and so are of key importance.
The MVS has produced results in the form of table, graph and motion animation of the input data analysis as of FORT loading operations, wave period and wave amplitude.
The damping levels give to the reduction in FORT resonant drift motion and so are of key importance.
Online since: October 2006
Authors: Eugene E. Haller, Gerhard Pensl, E. Rauls, Kurt Semmelroth, Uwe Gerstmann, Siegmund Greulich-Weber
After annealing for 30 min at
2000 K an activation of the P doping and reduction of radiation-induced defects was achieved.
In addition and for better comparison with experimental data, hf parameters for 6H-SiC are also calculated and compiled in Table 1.
As can be taken from Table 1 the calculated ligand hf interactions are in reasonable agreement with experimental data.
Table 1: Calculated hf parameters (absolute values) for the shallow PSi and NC donors at the hexagonal (h) and quasi-cubic (k1,k2) sites in 6H-SiC in com-parison with experimental data.
In addition and for better comparison with experimental data, hf parameters for 6H-SiC are also calculated and compiled in Table 1.
As can be taken from Table 1 the calculated ligand hf interactions are in reasonable agreement with experimental data.
Table 1: Calculated hf parameters (absolute values) for the shallow PSi and NC donors at the hexagonal (h) and quasi-cubic (k1,k2) sites in 6H-SiC in com-parison with experimental data.