scholarly journals Evaluation on Partial Discharge Intensity of Electrical Equipment Based on Improved ANFIS and Ultraviolet Pulse Detection Technology

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 126561-126570 ◽  
Author(s):  
Jingang Wang ◽  
Peiyuan Li ◽  
Xudong Deng ◽  
Na Li ◽  
Xi Xie ◽  
...  
Keyword(s):  
Partial Discharge ◽  
Electrical Equipment ◽  
Pulse Detection ◽  
Detection Technology

Research of Cable PD Detected Technology Based on Variable Frequency Oscillation Wave

2013 ◽  
Vol 291-294 ◽  
pp. 2331-2333
Author(s):  
Zong Xi Zhang
Keyword(s):  
Partial Discharge ◽  
Digital Signal ◽  
Electrical Equipment ◽  
Variable Frequency ◽  
Power Cable ◽  
Xlpe Cable ◽  
Detection Technology ◽  
And Performance ◽  
Reliable Power Supply ◽  
Test Requirements

With the accelerating construction of strong smart grid, and the grid voltage level rising, performance requirements for the electrical insulation of electrical equipment also continue to increase. The ( XLPE ) cable with good electrical and thermal performance and simple structure, the manufacturing cycle is short, safe and reliable power supply etc, which is widely used in power system ; Partial discharge is in the power cable to run a larger security risks is a sign of deterioration of the cable insulation is caused by insulation deterioration of important reasons . In this paper, based on variable frequency resonant damped oscillatory wave voltage XLPE cables and their connectors partial discharge site detection technology, the damped oscillatory wave voltage and power frequency voltage equivalent; the field test requirements, parameter optimization and performance detection impedance, and use advanced digital signal processing methods to analyze the test data processing, to provide a reference for the cables and their joints more accurately determine the insulation condition.

scholarly journals Field Application Research of Ultrasonic Partial Discharge Detection Technology in 500kV Reactor

2020 ◽  
Vol 782 ◽  
pp. 032089
Author(s):  
Dewen Zhang ◽  
Xuecheng Zhu ◽  
Hongda Zhang ◽  
Xiaoxu Hu ◽  
Shulei Shang ◽  
...  
Keyword(s):  
Partial Discharge ◽  
Field Application ◽  
Application Research ◽  
Detection Technology ◽  
Discharge Detection

scholarly journals An Improved Partial Discharge Detection System Based on UV Pulses Detection

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4767
Author(s):  
Zeliang Shen ◽  
Jingang Wang ◽  
Gang Wei
Keyword(s):  
High Precision ◽  
Reliable Method ◽  
Pulse Current ◽  
Detection System ◽  
Partial Discharge ◽  
Current Method ◽  
Pulse Method ◽  
Early Discharge ◽  
Effective Distance ◽  
Pulse Detection

Partial discharge (PD) usually reflects failures and potential hazards of equipment, so PD detection is important to protect the power system. The most reliable method now is the pulse current method (PCM), but the device of PCM is large and hard to carry. Ultraviolet (UV) pulse detection is another method to detect PD, which has a high precision, strong anti-interference ability, and a long effective distance. However, the existing detection system does not work well when the PD is weak and can hardly reflect the hidden trouble of equipment. This paper introduces an improved PD detection system, based on the UV Pulse Method, which is of high precision and can reflect early discharge. In this study, a corresponding detection device was also built. This device is handheld, non-contact, easy to use, and of high precision.

Study on Monitoring System for Partial Discharge of Electrical Equipment

2014 ◽  
Vol 12 (2) ◽  
Author(s):  
Miaofen Zhu ◽  
Guojin Chen ◽  
Ming Xu ◽  
Tingting Liu ◽  
Dong Xie ◽  
...  
Keyword(s):  
Monitoring System ◽  
Partial Discharge ◽  
Electrical Equipment

Design of Diagnosis System for Insulation Degradation by Using Neurofuzzy Model

2000 ◽  
Vol 4 (5) ◽  
pp. 368-372
Author(s):  
Yigon Kim ◽  
◽  
Yang Hee Jung ◽  
Yong Chul Bae
Keyword(s):  
Numerical Simulation ◽  
Early Warning ◽  
Partial Discharge ◽  
Data Acquisition System ◽  
Electrical Equipment ◽  
New Method ◽  
Insulation Aging ◽  
Insulation Degradation ◽  
On Line ◽  
Data Design

Insulation aging diagnosis provides early warning of electrical equipment defects that helps avoid loss from unexpected production line shutdown. Since relations of insulation aging and partial discharge dynamics are nonlinear, it is very difficult to provide early warning in electrical equipment. This paper suggests a new method for diagnosing insulation aging that measures partial discharge on-line from DAS(Data Acquisition System) and acquires 2D patterns from analyzing it using wavelets. Using this data, design of a neurofuzzy model that diagnoses electrical equipment is investigated. Validity of the new method is confirmed by numerical simulation.

Simulation Analysis Based on Finite-Difference Time-Domain Algorithm for GIS Partial Discharge Detection

2013 ◽  
Vol 397-400 ◽  
pp. 2282-2286
Author(s):  
Qiu Ping Liu ◽  
Xu Hong Wang
Keyword(s):  
Time Domain ◽  
Electromagnetic Waves ◽  
Simulation Analysis ◽  
Detection System ◽  
Partial Discharge ◽  
Power Grids ◽  
Detection Technology ◽  
Global Power ◽  
Different Characteristics ◽  
Difference Time

Gas insulated switchgear (GIS) has been widely used in global power grids currently. However, there are several disadvantages of GIS which will cause partial discharge (PD) in the insulation and then make GIS shut down. In this paper, the application of the ultra high frequency (UHF)method for partial discharge monitoring is discussed in detail, including the placement of the UHF sensors , detection system and the different characteristics of the different defects in the PD signals diagram are analyzed as well. Finally, some relevant conclusions are drawn based on Finite-Diffrenee Time-Domain algorithm (FDTD) for simulation of the electromagnetic waves by UHF PD detection technology.

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