Acoustic detection of partial discharge using signal processing and pattern recognition techniques

2012 ◽  
Vol 54 (12) ◽  
pp. 667-672 ◽  
Author(s):  
A Swedan ◽  
A H El-Hag ◽  
K Assaleh
Keyword(s):  
Pattern Recognition ◽  
Signal Processing ◽  
Partial Discharge ◽  
Acoustic Detection ◽  
Pattern Recognition Techniques

The PD Pattern Characteristics of Typical Defects in GIS Based on Acoustic Detection

2013 ◽  
Vol 295-298 ◽  
pp. 2425-2428
Author(s):  
Xu Tao Wu ◽  
Bo Ma ◽  
Jin Peng Hao ◽  
Liang Zhang ◽  
Jun Hao Li ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Detection Method ◽  
Partial Discharge ◽  
Line Detection ◽  
Acoustic Detection ◽  
Insulation Failure ◽  
Key Factor ◽  
On Line ◽  
Pattern Characteristic ◽  
Insulation Condition

Gas insulated switchgear (GIS) is the most important equipment in the power system. The partial discharge (PD) is the main detection method for the insulation failure. Especially, for insulation condition assessment, the pattern recognition technology of partial discharge in GIS is the most important. Acoustic detection of GIS PD is the effective method and it has long application history. The acoustic detection method is very suitable for defects detection in GIS, for it has the advantages of on-line detection and easy realization of locating the defects.The PD pattern characteristic is the key factor for the analysis of defect type. The PD pattern characteristics of four typical defects in GIS based on acoustic detection are studied in this paper. The results provide a test basis for the recognition of PD types and a deeper study of the mechanism of PD.

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