31 August 2015 Statistical analysis of partial discharges evolved during aging of synthetic nanofilled polypropylene
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Abstract
Introduction of nanofillers into polypropylene matrix has shown to improve the partial discharge resistance and breakdown strength. This work details the various statistical techniques that can be used to effectively analyze and forecast PD data obtained. PP samples made of base polymer and loaded with 1%, 2%, 4% and 8% synthetic nanofillers were aged under surface partial discharges. The acquired partial discharge pulse amplitude spectra were quantified in terms of Weibull scale (α) and shape (β) parameters. The sequential observations of these parameters collected at regular intervals of time constituted the two time series which are used here to analyze the PD data. The theoretical framework for analyzing & forecasting time series of Weibull shape and scale parameters of partial discharge pulse amplitude spectra using the auto & cross correlations to arrive at parsimonious models that can be used to analyze and forecast the data are presented.
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Prathap Basappa, Prathap Basappa, Charles M. Taylor, Charles M. Taylor, Antwarn E. Watson, Antwarn E. Watson, Rohitha Dhara, Rohitha Dhara, } "Statistical analysis of partial discharges evolved during aging of synthetic nanofilled polypropylene", Proc. SPIE 9558, Nanostructured Thin Films VIII, 955817 (31 August 2015); doi: 10.1117/12.2195949; https://doi.org/10.1117/12.2195949
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