Handling and Analysis of Large Datasets Using the Example of Partial Discharge Measurement

Abstract

As is the case in an increasing number of technical fields, large amounts of raw data are recorded during partial discharge (PD) measurements. This paper shows both common techniques and PD measurement-specific methods of data analysis. Defined test specimens are specifically designed, manufactured, and measured in order to provide raw data. Different organisation, calculation, and visualization options are evaluated regarding their applicability for finding correlations between measurement data and substrate parameters. Dependencies between partial discharge parameters and the specific test substrates’ properties are made visible.