Strathprints logo
Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Circuit breaker prognostics using SF6 data

Rudd, Susan and Catterson, Victoria and Mcarthur, Stephen and Johnstone, Carl (2011) Circuit breaker prognostics using SF6 data. In: 2011 IEEE power and energy society general meeting. IEEE Power and Energy Society General Meeting PESGM . IEEE, New York, pp. 1-6. ISBN 9781457710018

[img]
Preview
PDF
SRudd_paper.pdf - Draft Version

Download (2MB) | Preview

Abstract

Control decisions within future energy networks may take account of the health and condition of network assets, pushing condition monitoring within the smart grid remit. In order to support maintenance decisions, this paper proposes a circuit breaker prognostic system, which ranks circuit breakers in order of maintenance priority. By monitoring the SF6 density within a breaker, the system not only predicts the number of days to a critical level, but also incorporates uncertainty by giving upper and lower bounds on the prediction. This prognostic model, which performs linear regression, will be described in this paper, along with case studies demonstrating ranking breakers based on maintenance priority and prognosis of a leaking breaker. Providing an asset manager with this type of information could allow improved management of his/her assets, potentially deferring maintenance to a time when an outage is already scheduled.

Item type: Book Section
ID code: 37466
Keywords: circuit breakers , condition monitoring , maintenance , prognostics , health management, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Pure Administrator
Date Deposited: 08 Feb 2012 11:20
Last modified: 22 May 2015 08:48
Related URLs:
URI: http://strathprints.strath.ac.uk/id/eprint/37466

Actions (login required)

View Item View Item