Extensive experimental results on a 1 MW, 8 GHz gyrotron and the transmission line

2017 ◽  
Author(s):  
P. Garin
Keyword(s):  
Transmission Line ◽  
Experimental Results

Development of 1.2MV Induction Cavity for IVA Driver

2010 ◽  
Author(s):  
Peitian Cong ◽  
Aici Qiu ◽  
Hanyu Wu ◽  
Guowei Zhang ◽  
Jianfeng Sun ◽  
...  
Keyword(s):  
Transmission Line ◽  
Amorphous Material ◽  
Wave Model ◽  
Magnetic Core ◽  
Experimental Results ◽  
Field Analysis ◽  
Breakdown Field ◽  
Pulse Excitation ◽  
Remanence Ratio ◽  
Set Up

The 1.2MV, 70ns FWHM induction cell is developed for a 3MV Induction Voltage Adder (IVA) accelerator with three series connected cavities through a high voltage, vacuum insulating transmission line (VITL) driving rod-pinch diode (RPD) for radiography. The experimentally measured maximum relative permeability of IVA used amorphous material under pulse excitation is consistent with saturation wave model with flux density changing rate dB/dt greater than 10T/μs up to 32 T/μs. The remanence ratio Br/Bs is experimentally measured for IVA pre-annealed amorphous cores. Upon experimental results, cores in each cell are designed and determined according to current transfer efficiency and volt-second integral necessary for each induction cavity, and peak field preventing VITL bore negative surface from electron emission. The field analysis is carried out for designing VITL vacuum stack and oil cavity that contains cores and azimuthal transmission line with operation field stress being about 50% critical breakdown field. The prototype cell tests validate electric field safety and magnetic core performance. With magnetization inductance and resistance of eddy current calculated for inductive cell, the IVA accelerator circuit model is set up, and simulation predictions approximately according with experimental results are presented.

Optical Modeling of Hybrid Polymer Solar Cells Using a Transmission-Line Model and Comparison With Experimental Results

2010 ◽  
Vol 16 (6) ◽  
pp. 1784-1791 ◽  
Author(s):  
Nikolaos A. Stathopoulos ◽  
Leonidas C. Palilis ◽  
Stylianos P. Savaidis ◽  
Stephan R. Yesayan ◽  
Maria Vasilopoulou ◽  
...  
Keyword(s):  
Solar Cells ◽  
Transmission Line ◽  
Polymer Solar Cells ◽  
Experimental Results ◽  
Hybrid Polymer ◽  
Transmission Line Model ◽  
Line Model ◽  
Optical Modeling

SCATTERING OF ELECTROMAGNETIC WAVES BY COAXIAL CYLINDERS

1956 ◽  
Vol 34 (5) ◽  
pp. 510-520 ◽  
Author(s):  
Albert W. Adey
Keyword(s):  
Transmission Line ◽  
Electromagnetic Waves ◽  
Parallel Plate ◽  
Near Field ◽  
Experimental Results ◽  
Metal Cylinder ◽  
Scattering System ◽  
Coaxial Cylinders ◽  
Scattered Fields ◽  
Good Agreement

A scattering system comprising two coaxial, dielectric cylinders has been studied theoretically and experimentally. Calculations have been made of the forward and back scattered fields for several combinations of inner and outer radii. It has been found that, by covering a metal cylinder with a coaxial dielectric shield, it is possible to eliminate to some extent the deep near-field shadow. Experimental results obtained at a wavelength of 3.275 cm. using a parallel-plate transmission line are in good agreement with calculations.

scholarly journals Modeling and Analysis of Progressive Ice Shedding along a Transmission Line during Thermal De-Icing

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Yunyun Xie ◽  
Linyan Huang ◽  
Da Wang ◽  
Huaiping Ding ◽  
Xiaochun Yin
Keyword(s):  
Dynamic Response ◽  
Transmission Line ◽  
Transmission Lines ◽  
Dynamic Equilibrium ◽  
Propagation Speed ◽  
Experimental Results ◽  
Small Scale ◽  
Equilibrium Equations ◽  
Modeling And Analysis ◽  
Ice Shedding

Progressive ice shedding (PIS) along transmission lines is a common type of ice shedding during thermal de-icing that requires investigation to ensure the security of transmission lines. In current research, PIS is commonly analyzed using a constant speed for ice detaching from the conductor, which is not accurate for PIS simulation. Therefore, a mechanical model of PIS is established in this study to analyze PIS during thermal de-icing. First, an ice detachment model during thermal de-icing is built to determine the detachment times of the initial ice and remaining ice. Then, a two-node isoparametric truss element is employed to derive the static and dynamic equilibrium equations of an iced conductor to simulate the dynamic response of PIS. Relative to commercial software, these equations can easily accommodate the changing mass of ice with the flow of melted water. The dynamic equilibrium equations are then solved using the ice detachment model to obtain the dynamic response of PIS. Finally, small-scale and full-scale experimental results are employed to verify the proposed method. The simulation results show that the results of the proposed method are more consistent with the experimental results than are the results of existing methods that assume a constant propagation speed. The proposed method can be further applied to optimize transmission line designs and evaluate the application of thermal de-icing devices.

Component identification and defect detection in transmission lines based on deep learning

2020 ◽  
pp. 1-12
Author(s):  
Xiangyu Zheng ◽  
Rong Jia ◽  
Aisikaer ◽  
Linling Gong ◽  
Guangru Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Transmission Line ◽  
Defect Detection ◽  
Transmission Lines ◽  
Power Grid ◽  
Recognition Rate ◽  
Experimental Results ◽  
Component Identification ◽  
Special Power ◽  
Component Failures

Ensuring the stable and safe operation of the power system is an important work of the national power grid companies. The power grid company has established a special power inspection department to troubleshoot transmission line components and replace faulty components in a timely manner. At present, assisted manual inspection by drone inspection has become a trend of power line inspection. Automatically identifying component failures from images of UAV aerial transmission lines is a cutting-edge cross-cutting issue. Based on the above problems, the purpose of this article is to study the component identification and defect detection of transmission lines based on deep learning. This paper expands the dataset by adjusting the size of the convolution kernel of the CNN model and the rotation transformation of the image. The experimental results show that both methods can effectively improve the effectiveness and reliability of component identification and defect detection in transmission line inspection. The recognition and classification experiments were performed using the images collected by the drone. The experimental results show that the effectiveness and reliability of the deep learning method in the identification and defect detection of high-voltage transmission line components are very high. Faster R-CNN performs component identification and defect detection. The detection can reach a recognition speed of nearly 0.17 s per sheet, the recognition rate of the pressure-equalizing ring can reach 96.8%, and the mAP can reach 93.72%.

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