Partial discharge (PD) measurement is a widely extended technique for the diagnosis of electrical machines and power cables. Since PD and noise recognition is really important in industrial environments, the authors proposed the use of the spectral Power Ratios (PR) of the detected high-frequency (HF) signals, which show promising results. However, the frequency bands selected for their calculation have a clear influence on the position of the clusters in the classification maps. Following this research trend, a new algorithm for the automatic selection of the frequency bands which gives a proper separation between the clusters, has been proposed in part I of this paper. The first results presented in this paper revealed a good behavior of the technique for PD and noise separation in simple test objects. In this second part of the paper, more results from the application of this system to PD source recognition in simple test objects and also in real equipment are developed.
|Number of pages||9|
|Journal||IEEE Transactions on Dielectrics and Electrical Insulation|
|Publication status||Published - 1 Aug 2015|
Ardila-Rey, J. A., Martínez-Tarifa, J. M., & Robles, G. (2015). Automatic selection of frequency bands for the power ratios separation technique in partial discharge measurements: Part II, PD source recognition and applications. IEEE Transactions on Dielectrics and Electrical Insulation, 2293-2301. https://doi.org/10.1109/TDEI.2015.004822