THE SENSITIVITY FAULT DIAGNOSIS METHOD OF GROUNDING GRID BASED ON LSQR REGULARIZATION ALGORITHM

Author(s):  
MANLING DONG ◽  
JIAJIA HU ◽  
DEGUI YAO ◽  
XIAOKUO KOU ◽  
FAN YANG ◽  
...  
2012 ◽  
Vol 19 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Peng-He Zhang ◽  
Jun-Jia He ◽  
Dan-Dan Zhang ◽  
Lan-Min Wu

A Fault Diagnosis Method for Substation Grounding Grid Based on the Square-Wave Frequency Domain ModelCurrent methods of fault diagnosis for the grounding grid using DC or AC are limited in accuracy and cannot be used to identify the locations of the faults. In this study, a new method of fault diagnosis for substation grounding grids is proposed using a square-wave. A frequency model of the grounding system is constructed by analyzing the frequency characteristics of the soil and the grounding conductors into which two different frequency square-wave sources are injected. By analyzing and comparing the corresponding information of the surface potentials of the output signals, the faults of the grounding grid can be diagnosed and located. Our method is verified by software simulation, scale model experiments and field experiments.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 24148-24156 ◽  
Author(s):  
Zhenhua Li ◽  
Qiuhui Li ◽  
Zhengtian Wu ◽  
Jie Yu ◽  
Ronghao Zheng

2013 ◽  
Vol 787 ◽  
pp. 909-913
Author(s):  
Ling Jian Li ◽  
Min Fang Peng ◽  
Ke Xin Zhao

This paper presents a genetic algorithm to optimize support vector machine parameters for grounding grid fault diagnosis method. Grounding grid is equivalent to a pure resistance model, extract characteristics of different kinds of corrision states, Using genetic algorithm optimize support vector machine kernel function parameters, achieve the identification of the type of failure mode, Grounding grid of 6 × 6 test can quickly detect the grounding grid corrosion, simulation results show that the method has higher accuracy than support vector machine.


Author(s):  
Beisheng Yuan ◽  
Chaofan Li ◽  
Fujue Wang ◽  
Xinyu Feng ◽  
Yameng Fu

Sign in / Sign up

Export Citation Format

Share Document