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Proceedings Paper

Statistical analysis of partial discharges evolved during aging of synthetic nanofilled polypropylene
Author(s): Prathap Basappa; Charles M. Taylor Jr.; Antwarn E. Watson; Rohitha Dhara
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Paper 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.

Paper Details

Date Published: 31 August 2015
PDF: 5 pages
Proc. SPIE 9558, Nanostructured Thin Films VIII, 955817 (31 August 2015); doi: 10.1117/12.2195949
Show Author Affiliations
Prathap Basappa, Norfolk State Univ. (United States)
Charles M. Taylor Jr., Norfolk State Univ. (United States)
Antwarn E. Watson, Norfolk State Univ. (United States)
Rohitha Dhara, Norfolk State Univ. (United States)

Published in SPIE Proceedings Vol. 9558:
Nanostructured Thin Films VIII
Akhlesh Lakhtakia; Tom G. Mackay; Motofumi Suzuki, Editor(s)

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