Abstract
| Language | English |
|---|---|
| Title of host publication | 2011 IEEE power and energy society general meeting |
| Place of Publication | New York |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Print) | 9781457710018 |
| DOIs | |
| Publication status | Published - 24 Jul 2011 |
| Event | IEEE Power and Energy Society General Meeting - Duration: 1 Jan 1900 → … |
Publication series
| Name | IEEE Power and Energy Society General Meeting PESGM |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 1944-9925 |
Conference
| Conference | IEEE Power and Energy Society General Meeting |
|---|---|
| Period | 1/01/00 → … |
Fingerprint
Keywords
- circuit breakers
- condition monitoring
- maintenance
- prognostics
- health management
Cite this
}
Circuit breaker prognostics using SF6 data. / Rudd, Susan; Catterson, Victoria; Mcarthur, Stephen; Johnstone, Carl.
2011 IEEE power and energy society general meeting. New York : IEEE, 2011. p. 1-6 (IEEE Power and Energy Society General Meeting PESGM ).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Circuit breaker prognostics using SF6 data
AU - Rudd, Susan
AU - Catterson, Victoria
AU - Mcarthur, Stephen
AU - Johnstone, Carl
PY - 2011/7/24
Y1 - 2011/7/24
N2 - 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.
AB - 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.
KW - circuit breakers
KW - condition monitoring
KW - maintenance
KW - prognostics
KW - health management
UR - http://www.scopus.com/inward/record.url?scp=82855164118&partnerID=8YFLogxK
U2 - 10.1109/PES.2011.6039599
DO - 10.1109/PES.2011.6039599
M3 - Conference contribution book
SN - 9781457710018
T3 - IEEE Power and Energy Society General Meeting PESGM
SP - 1
EP - 6
BT - 2011 IEEE power and energy society general meeting
PB - IEEE
CY - New York
ER -