Detection and location of acoustic and electric signals from partial discharges with an adaptative wavelet-filter denoising

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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. © 2011 Springer Science+Business Media B.V.

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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. Lecture Notes in Electrical Engineering, 90 LNEE, 25–38. https://doi.org/10.1007/978-94-007-1192-1_3

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