Validation progresses of the voltage holding prediction model at the high voltage Padova test facility HVPTF

2012 ◽  
Author(s):  
A. De Lorenzi ◽  
N. Pilan ◽  
A. Pesce ◽  
E. Spada
Keyword(s):  
Prediction Model ◽  
High Voltage ◽  
Test Facility

ITER NB Injector Test Facility: Analyses of the Impact on the High Voltage Network

2007 ◽  
Vol 52 (3) ◽  
pp. 403-407
Author(s):  
R. Piovan ◽  
L. Novello ◽  
A. De Lorenzi ◽  
E. Gaio ◽  
F. Milani
Keyword(s):  
High Voltage ◽  
Test Facility ◽  
The Impact

scholarly journals Application of WOA–SVR in Seed Vigor of High-Voltage Electric Field Treatment on Aged Cotton (Gossypium spp.) Seeds

Agronomy ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 88
Author(s):  
Zhanhua Song ◽  
Junxiang Ma ◽  
Qian Peng ◽  
Baoji Liu ◽  
Fade Li ◽  
...  
Keyword(s):  
Electric Field ◽  
Prediction Model ◽  
High Voltage ◽  
Treatment Time ◽  
Seed Vigor ◽  
Germination Index ◽  
Support Vector ◽  
Gossypium Spp ◽  
Whale Optimization ◽  
Input Variables

When seeds are treated with a high-voltage electric field (HVEF) to improve seed vigor, due to the large differences in the biological electromagnetic effects on different types of seeds, the methods of variance analysis and regression analysis based on data statistics are generally used to construct the optimal electric field dose prediction model; however, the generalization performance of the prediction model tends to be poor. To solve this problem, the electric intensity, frequency and treatment time were taken as the input variables for hybrid support vector regression (SVR) analysis to establish the prediction model of the seed comprehensive germination index. The whale optimization algorithm (WOA) was used to optimize the kernel parameters of the SVR. The optimized hybrid WOA–SVR model predicted the optimal comprehensive germination index of aged cotton (Gossypium spp.) seeds to be 329, the optimal HVEF dosage was 3.64 kV/cm × 99 s, and the frequency was 1.4 Hz. The aged cotton seeds were treated with the optimal HVEF and the germination test was carried out. Compared with the check (CK), the comprehensive germination index of seeds increased by 48%. The research results provided a new method and new idea for the optimal design of parameters for seed treatment with HVEF.

HVPTF—The high voltage laboratory for the ITER Neutral Beam test facility

2011 ◽  
Vol 86 (6-8) ◽  
pp. 742-745 ◽  
Author(s):  
A. De Lorenzi ◽  
N. Pilan ◽  
L. Lotto ◽  
M. Fincato ◽  
G. Pesavento ◽  
...  
Keyword(s):  
High Voltage ◽  
Neutral Beam ◽  
Test Facility ◽  
Beam Test

scholarly journals Contact pressure of high-voltage DC power relay change and life prediction and structure optimization

2021 ◽  
Vol 13 (2) ◽  
pp. 168781402199166
Author(s):  
Guo-Fei Yu ◽  
Yi-Jui Chiu ◽  
Xiang Zheng ◽  
Zhong-Lin Yuan ◽  
Zhi-Xin Wang
Keyword(s):  
Prediction Model ◽  
Contact Resistance ◽  
Contact Pressure ◽  
Relative Error ◽  
High Voltage ◽  
Life Prediction ◽  
Characteristic Parameters ◽  
Dc Power ◽  
Action Time ◽  
Life Prediction Model

To effectively predict the life of high voltage dc power relay, the authors design the structure of the relay to extending its life. The contact failure mechanism of relay products is analyzed by observing the appearance of several contact failures. The electromagnetic-thermal field coupling model is established and the state of heat flow and distribution of temperature increase between electrical and thermal coupling contacts are analyzed through simulations and experiments. An adaptive neural network control system is established to conduct sample training, obtain the best stiffness coefficient of the main spring, and optimize the design of the main spring structure composed of composite springs. The action voltage, release voltage, contact resistance, contact pressure, action time, and release time as characteristic parameters, and the relative error, correlation degree, variance ratio, and small error probability of each characteristic parameter, are calculated. The precision grade index of contact resistance and action time is defined as level 1. The two characteristic parameters are selected as the prediction variables to establish the life-prediction model based on gray theory. The relative error between the predicted and test life is 5.31%–5.6%, indicating that the life-prediction model has high accuracy. The test results show that the combined main spring structure can extend the life of a relay by 18.15%.

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