Abstract: The ultra-high-frequency (UHF) method is used to analyze the insulation condition of electric equipment by detecting the UHF electromagnetic (EM) waves excited by partial discharge (PD). As part of the UHF detection system, the UHF sensor determines the detection system performance in signal extraction and recognition. In this paper, a UHF antenna sensor with the fractal structure for PD detection in switchgears was designed by means of modeling, simulation and optimization. This sensor, with a flat-plate structure, had two resonance frequencies of 583 MHz and 732 MHz. In the laboratory, four kinds of insulation defect models were positioned in the testing switchgear for typical PD tests. The results show that the sensor could reproduce the electromagnetic waves well. Furthermore, to optimize the installation position of the inner sensor for achieving best detection performance, the precise simulation model of switchgear was developed to study the propagation characteristics of UHF signals in switchgear by finite-difference time-domain (FDTD) method. According to the results of simulation and verification test, the sensor should be positioned at the right side of bottom plate in the front cabinet. This research established the foundation for the further study on the application of UHF technique in switchgear PD online detection.
Keywords: UHF; PD; switchgear; UHF-sensor; FDTD; propagation characteristics; installation position of sensor
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Yao, C.; Chen, P.; Huang, C.; Chen, Y.; Qiao, P. Study on the Application of an Ultra-High-Frequency Fractal Antenna to Partial Discharge Detection in Switchgears. Sensors 2013, 13, 17362-17378.
Yao C, Chen P, Huang C, Chen Y, Qiao P. Study on the Application of an Ultra-High-Frequency Fractal Antenna to Partial Discharge Detection in Switchgears. Sensors. 2013; 13(12):17362-17378.
Yao, Chenguo; Chen, Pan; Huang, Congjian; Chen, Yu; Qiao, Panpan. 2013. "Study on the Application of an Ultra-High-Frequency Fractal Antenna to Partial Discharge Detection in Switchgears." Sensors 13, no. 12: 17362-17378.