A Validation of the Spectral Power Clustering Technique (SPCT) by Using a Rogowski Coil in Partial Discharge Measurements

Sensors

Jorge Alfredo Ardila-Rey³  Ricardo Albarracín²  Fernando Álvarez¹  Aldo Barrueto³ 

[1] Departamento de Ingeniería Eléctrica, Universidad Politécnica de Madrid, Ronda de Valencia 3, Madrid 28012, Spain; E-Mail:;Generation and Distribution Network Area. Dept. Electrical Engineering. Innovation, Technology and R&D, Boslan S.A. Consulting and Engineering, Calle de la Isla Sicilia 1, Madrid 28034, Spain; E-Mail:;Departamento de Ingeniería Eléctrica, Universidad Técnica Federico Santa María, Av. Vicuña Mackenna 3939, Santiago de Chile 8940000, Chile; E-Mail:

关键词: partial discharges (PD);    Rogowski coil;    wideband PD measurements;    clustering techniques;    condition monitoring;    electrical insulation condition;    on-line PD measurements;    pattern recognition;    signal processing;   

DOI  :  10.3390/s151025898

来源: mdpi

【 摘 要 】

Both in industrial as in controlled environments, such as high-voltage laboratories, pulses from multiple sources, including partial discharges (PD) and electrical noise can be superimposed. These circumstances can modify and alter the results of PD measurements and, what is more, they can lead to misinterpretation. The spectral power clustering technique (SPCT) allows separating PD sources and electrical noise through the two-dimensional representation (power ratio map or PR map) of the relative spectral power in two intervals, high and low frequency, calculated for each pulse captured with broadband sensors. This method allows to clearly distinguishing each of the effects of noise and PD, making it easy discrimination of all sources. In this paper, the separation ability of the SPCT clustering technique when using a Rogowski coil for PD measurements is evaluated. Different parameters were studied in order to establish which of them could help for improving the manual selection of the separation intervals, thus enabling a better separation of clusters. The signal processing can be performed during the measurements or in a further analysis.

【 授权许可】

CC BY   
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