Inductive Sensor Performance in Partial Discharges and Noise Separation by Means of Spectral Power Ratios

Sensors

Jorge Alfredo Ardila-Rey²  Mónica Victoria Rojas-Moreno¹  Juan Manuel Martínez-Tarifa² 

[1] Escuela Politécnica Superior, Departamento de Ingeniería Eléctrica, Universidad Carlos III de Madrid, Avenida de la Universidad 30, Leganés, Madrid 28911, Spain;

关键词: partial discharges;    noise separation;    spectral power ratios;    high frequency current transformers;    inductive sensors;   

DOI  :  10.3390/s140203408

来源: mdpi

【 摘 要 】

Partial discharge (PD) detection is a standardized technique to qualify electrical insulation in machines and power cables. Several techniques that analyze the waveform of the pulses have been proposed to discriminate noise from PD activity. Among them, spectral power ratio representation shows great flexibility in the separation of the sources of PD. Mapping spectral power ratios in two-dimensional plots leads to clusters of points which group pulses with similar characteristics. The position in the map depends on the nature of the partial discharge, the setup and the frequency response of the sensors. If these clusters are clearly separated, the subsequent task of identifying the source of the discharge is straightforward so the distance between clusters can be a figure of merit to suggest the best option for PD recognition. In this paper, two inductive sensors with different frequency responses to pulsed signals, a high frequency current transformer and an inductive loop sensor, are analyzed to test their performance in detecting and separating the sources of partial discharges.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.