Abstract
The objective of this research work is the design and implementation of a post-processing algorithm or “search and localization engine” that will be used for the characterization of partial discharges (PD) and the location of the source in order to assess the condition of paper-oil insulation systems. The PD is measured with two acoustic sensors (ultrasonic PZT) and one electric sensor (HF ferrite). The acquired signals are conditioned with an adaptative wavelet-filter which is configured with only one parameter.
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Acknowledgments
This work was supported by the Spanish Ministry of Science and Innovation, under the R&D projects No. DPI2006-15625-C03-01 and DPI2009-14628-C03-01 and the Research grant No. BES-2007-17322. PD tests have been made in collaboration with the High Voltage Research and Tests Laboratory of Universidad Carlos III de Madrid (LINEALT).
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Rubio-Serrano, J., Posada, J.E., Garcia-Souto, J.A. (2011). Detection and Location of Acoustic and Electric Signals from Partial Discharges with an Adaptative Wavelet-Filter Denoising. In: Ao, SI., Gelman, L. (eds) Electrical Engineering and Applied Computing. Lecture Notes in Electrical Engineering, vol 90. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1192-1_3
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DOI: https://doi.org/10.1007/978-94-007-1192-1_3
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