TY - GEN
T1 - Recognition of GIS insulating defect types based on Ultrasonic detection
AU - Lv, Fang Cheng
AU - Zhang, Bo
PY - 2014
Y1 - 2014
N2 - In this paper, high voltage conductor metal protrusions, suspended particles and immobilized metal particles on gas insulated switchgear (GIS) insulators were simulated in the GIS model. The high voltage conductor metal protrusions defect was simulated by a needle-plate model. The GIS model was filled with 0.4MPa SF6 gas. When the voltage was added to 60kV, the three models all had stable discharge. Ultrasonic sensor was used to measure the discharge waveform for 100 groups. The absolute value of difference between the amplitude of adjacent half wave as Udif and the absolute sum of a cycle of the signal as Utal were chosen as the characteristic parameters. The defect types were recognized with BP neural network and the recognition rate is about 80%.
AB - In this paper, high voltage conductor metal protrusions, suspended particles and immobilized metal particles on gas insulated switchgear (GIS) insulators were simulated in the GIS model. The high voltage conductor metal protrusions defect was simulated by a needle-plate model. The GIS model was filled with 0.4MPa SF6 gas. When the voltage was added to 60kV, the three models all had stable discharge. Ultrasonic sensor was used to measure the discharge waveform for 100 groups. The absolute value of difference between the amplitude of adjacent half wave as Udif and the absolute sum of a cycle of the signal as Utal were chosen as the characteristic parameters. The defect types were recognized with BP neural network and the recognition rate is about 80%.
KW - BP neural network
KW - Gas insulated switchgear
KW - The type of insulating defect
KW - Ultrasonic detection
UR - https://www.scopus.com/pages/publications/84896351652
U2 - 10.4028/www.scientific.net/AMR.898.725
DO - 10.4028/www.scientific.net/AMR.898.725
M3 - Conference contribution
AN - SCOPUS:84896351652
SN - 9783038350361
T3 - Advanced Materials Research
SP - 725
EP - 729
BT - Applied Material Science and Related Technologies
PB - Trans Tech Publications
T2 - 2014 3rd International Conference on Intelligent System and Applied Material, GSAM 2014
Y2 - 18 January 2014 through 19 January 2014
ER -