Partial Discharge Detection in XLPE Cable Joint Based on Electromagnetic Coupling Method

Author(s):  
Rijun Dai ◽  
Fangcheng Lv ◽  
Heming Li
2014 ◽  
Vol 960-961 ◽  
pp. 881-884
Author(s):  
Xiao Guang Xi ◽  
Yu Yan Man ◽  
Chi Zhang ◽  
Ming Lei Wu ◽  
Yan Wei Dong ◽  
...  

In this article, a portable XLPE cable insulation detection device is introduced. Such a device utilizes electromagnetic coupling, UHF electromagnetic wave and acoustic emission to detect partial discharge signals in power cables. By analyzing the partial discharge signals and cable temperatures, the insulation status of XLPE power cables is judged.


Author(s):  
Mohamad Izmir Farhan Mohamad Radzi ◽  
N H Nik Ali ◽  
Azrul Mohd Ariffin ◽  
Muhamad Safwan Abd Rahman ◽  
Norhidayu Rameli ◽  
...  

High voltage assets play a vital role in providing uninterrupted power to the consumers and any slight problems experienced by the assets may cause losses in millions of dollars to businesses. Therefore it is of utmost importance to monitor the health of high voltage assets. This research presents the development process of a Partial Discharge (PD) device that is able to detect PD acoustic waves for monitoring high voltage assets purposes. Medium voltage Cross-Linked Polyethylene (XLPE) cable was used which was introduced with spherical void defects at the joints of the cable that functioned to produce PD acoustic waves. Outcome of the development processes provides the finished design of the PD sensing device, known as Partial Discharge Detection (PDD) device. The functionality of the PDD device was also assessed through controlled experimentations, and they proved to be successful. Pure PD waveform captured by the ultrasonic sensor was similar when compared to a HFCT sensor’s pure PD waveform. The PDD device is a small and affordable, and is opened to various improvements such as integrating Artificial Intelligence (AI) unto the device, and one day may replace most existing bulky and expensive PD sensing devices that are readily available in the market.


2020 ◽  
Vol 35 (4) ◽  
pp. 1678-1684 ◽  
Author(s):  
Guangya Zhu ◽  
Kai Zhou ◽  
Shilin Zhao ◽  
Yuan Li ◽  
Lu Lu

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