Picture of wind turbine against blue sky

Open Access research with a real impact...

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

The Energy Systems Research Unit (ESRU) within Strathclyde's Department of Mechanical and Aerospace Engineering is producing Open Access research that can help society deploy and optimise renewable energy systems, such as wind turbine technology.

Explore wind turbine research in Strathprints

Explore all of Strathclyde's Open Access research content

Trip coil signature analysis and interpretation for distribution circuit breaker condition assessment and diagnosis

Strachan, Scott and McArthur, S.D.J. and McDonald, J.R. and Leggat, William and Campbell, Angus (2005) Trip coil signature analysis and interpretation for distribution circuit breaker condition assessment and diagnosis. In: 18th International Conference and Exhibition on Electricity Distribution, 2005-06-06 - 2005-06-09.

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

A circuit breaker may be considered an ‘active link’, used to make and break an electrical circuit under conditions of varying severity. In the event of a circuit fault the circuit breaker must respond within tens of milliseconds in order to prevent damage to connected plant and safeguard personnel. As such, a circuit breaker will remain idle for the bulk of its lifetime, only being called into action periodically to interrupt load or fault current. This makes the circuit breaker one of the most safety critical, yet most unpredictable plant items on the power network. In addition, circuit breaker mal-operations account for a significant proportion of Customer Minutes Lost (CMLs), Customer Interruptions (CIs), plant replacement costs and safety issues. Conflicting regulatory and economic pressures to improve the performance, reliability and longevity of these, and other major plant items while reducing maintenance costs have forced many utilities to reassess their asset management and maintenance strategies [1]. This has led to significant investment in novel condition monitoring technologies, which in turn precipitate the need for new methods of analysing and interpreting new forms and increasing volumes of plant data.