Picture of virus under microscope

Research under the microscope...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

Explore SIPBS research

Identifying harmonic attributes from online partial discharge data

Catterson, Victoria and Bahadoorsingh, S. and Rudd, Susan and Mcarthur, Stephen and Rowland, S.M. (2011) Identifying harmonic attributes from online partial discharge data. IEEE Transactions on Power Delivery, 26 (3). pp. 1811-1819. ISSN 0885-8977

[img]
Preview
PDF
paper.pdf - Accepted Author Manuscript

Download (1MB) | Preview

Abstract

Partial discharge (PD) monitoring is a key method of tracking fault progression and degradation of insulation systems. Recent research discovered that the harmonic regime experienced by the plant also affects the PD pattern, questioning the conclusions about equipment health drawn from PD data. This paper presents the design and creation of an online system for harmonic circumstance monitoring of distribution cables, using only PD data. Based on machine learning techniques, the system can assess the prevalence of the 5th and 7th harmonic orders over the monitoring period. This information is key for asset managers to draw correct conclusions about the remaining life of polymeric cable insulation, and prevent overestimation of the degradation trend.