Research on Ground Fault Monitoring Method for High Voltage Line Based on Phase Difference Method

2020 ◽  
Author(s):  
Jiang Yijun ◽  
Lv Jun ◽  
Wang Liqun
Keyword(s):  
Phase Difference ◽  
High Voltage ◽  
Difference Method ◽  
Monitoring Method ◽  
Ground Fault ◽  
Fault Monitoring

Feature Extraction for the Ground Fault Factor of High Voltage System Interface

2018 ◽  
Vol 138 (3) ◽  
pp. 206-211
Author(s):  
Kazunori Nishimura ◽  
Yusaku Marui ◽  
Wataru Sunayama
Keyword(s):  
Feature Extraction ◽  
High Voltage ◽  
Ground Fault ◽  
High Voltage System

Use of spatial phase difference method to detect microwaves associated with stator coil partial discharge in a generator

1997 ◽  
Vol 121 (2) ◽  
pp. 16-26 ◽  
Author(s):  
Masatake Kawada ◽  
Zen-Ichiro Kawasaki ◽  
Kenji Matsuura ◽  
Toshio Musashiya ◽  
Katsunori Otoba ◽  
...  
Keyword(s):  
Phase Difference ◽  
Difference Method ◽  
Partial Discharge ◽  
Spatial Phase

scholarly journals Comparison of Electrical and Vibration Analysis Methods for Mechanical Fault Monitoring in Wind Turbine Drivetrains

2019 ◽  
Vol 9 (1) ◽  
pp. 2-7
Author(s):  
P Granjon ◽  
P D Longhitano ◽  
A Singh
Keyword(s):  
Wind Turbine ◽  
Vibration Analysis ◽  
Wind Farm ◽  
Electromechanical System ◽  
Main Bearing ◽  
Monitoring Method ◽  
Fault Monitoring ◽  
Three Phase ◽  
Mechanical Faults ◽  
Electrical Generator

Mechanical faults occurring in drivetrains are traditionally monitored through vibration analysis and, more rarely, by analysing electrical quantities measured on the electromechanical system involved. However, a monitoring method that is able to take into account all of the information contained in three-phase electrical quantities was recently proposed. The goal of this paper is to compare this threephase electrical approach with the usual vibration-based method in terms of its capability to detect mechanical faults in drivetrains. In this context, a 2 MW geared wind turbine operating in an industrial wind farm was equipped with accelerometers near the main bearing and electrical sensors on the stator of the electrical generator for several months. During this period, an important mechanical fault occurred in the main bearing of the system. The evolution of the fault indicators computed by the two previous approaches were compared throughout this period of time. All of the indicators behaved similarly and showed the development of an inner bearing fault in the main bearing. This demonstrated that a mechanical fault occurring in a drivetrain can be monitored and detected by analysing electrical quantities, even if the fault is located some distance from the electrical generator.

Real-time fault monitoring method of charging pile based on improved RNN neural network

2021 ◽  
Author(s):  
Jian Zhang ◽  
Dan Li ◽  
Qin Xie ◽  
Weidong Liu ◽  
Bin Liang
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Monitoring Method ◽  
Fault Monitoring

Optical Fault Monitoring Method in 8-branched PON-based i-FTTH

2010 ◽  
Vol 2 (4) ◽  
pp. 215-227 ◽  
Author(s):  
B.C. Ng ◽  
M.S. Ab-Rahman ◽  
A. Premadi ◽  
K. Jumari
Keyword(s):  
Monitoring Method ◽  
Fault Monitoring
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