XU Hua-feng, ZHU Shi-quan. Improving the Accuracy of Ultrasonic Location of Partial Discharge with Statistical Method[J]. High voltageapparatus, 2012, 48(6): 85-88+93.
XU Hua-feng, ZHU Shi-quan. Improving the Accuracy of Ultrasonic Location of Partial Discharge with Statistical Method[J]. High voltageapparatus, 2012, 48(6): 85-88+93. DOI: 10.13296/j.1001-1609.hva.2012.06.018.
Improving the Accuracy of Ultrasonic Location of Partial Discharge with Statistical Method
the electric-ultrasonic location method and the statistical method for partial discharge are analyzed theoretically.Then taking partial discharge location in a transformer for example
the combination of the electric location method
the electric-ultrasonic location method and the statistical method is utilized to save location time and reduce spatial location error
and hence to improve the accuracy of ultrasonic location of partial discharge.The result verifies the importance of the statistical method in partial discharge location.
Research on Application of Microphone-optimized Spiral Arrays-based Acoustic Imaging Devices in Partial Discharge Localization
Study on Fiber Interferometric Partial Discharge Ultrasonic Sensing Method Based on Acoustic-optic Modulation and RF Phase Detection
High-frequency Sensing Technology of Partial Discharge of Switchgear Cabinet for Wind Solar & Energy Storage Stations in Gobi Deserts
Research on Influence of Piezoelectric Material Properties and Element Size on Sensitivity of Piezoelectric Sensor for Partial Discharge Monitoring of Transformer
Influence of Environmental Factors on Insulation Performance of Separable Connector for 12 kV Gas Filling Switchgear Cabinet
Related Author
YUE Song
GAO Fei
HAN Shuai
DONG Haoyuan
LI Jun
LI Xin
LIU Chao
QIAO Hui
Related Institution
Electric Power Research Institute of State Grid Tibet Company
China Electric Power Research Institute Co., Ltd.
Iflytek Co., Ltd.
Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd.
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University