Abstract
Partial discharge (PD) measurement of power transformers provides a means for condition assessment of their insulation systems. To reach an informed assessment on the condition of a transformer's insulation system, it needs to appropriately analyze the measured PD signals. Though abundant methods have been proposed for PD signal analysis, it is still a non-trivial task and especially for non-expert. Thus, this paper develops an open source toolbox for PD signal analysis. The toolbox consists of various PD signal analysis algorithms, from PD signal de-noising to PD signal representation, and to multiple PD source separation and PD source classification. The toolbox can be readily used by researchers and utility engineers to process and interpret the signals obtained from PD measurements of transformers at laboratory and field.
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