DocumentCode :
2056266
Title :
Multiperspective risk analysis for aging asset fleet management
Author :
Haifeng Ge ; Hou, J. ; Asgarpoor, S.
Author_Institution :
ABB Inc., Raleigh, NC, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
Aging infrastructures have become a challenge for many utilities in North America, which increases the complexity of operation, maintenance and replacement decisions. For managing asset fleets with aging equipment, utilities have developed many risk-based approaches to identify high-risk assets, in order to ensure cost-effective maintenance decisions under budget constraints. This paper presents a multiperspective risk analysis approach to assist asset owners in identifying high risk assets within asset fleets. Comprehensive evaluation of equipment performance, operation and maintenance (O&M) cost and equipment criticality risk indicators are presented. Case studies of risk analysis for circuit breakers of two substations are presented. The approach developed enhances the traditional risk diagram with multiperspective risk indicators that can be integrated into utility asset management practices.
Keywords :
ageing; asset management; electricity supply industry; equipment evaluation; maintenance engineering; power system management; risk management; aging asset fleet management; aging infrastructures; asset owner; equipment performance evaluation; high risk asset identification; maintenance decision; multiperspective risk analysis; multiperspective risk indicator; operation decision; replacement decision; risk diagram; utility asset management practice; Aging; Availability; Circuit breakers; Maintenance engineering; Risk analysis; Substations; Aging Equipment; Maintenance Optimization; Substation Reliability; Utility Asset Management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345207
Filename :
6345207
Link To Document :
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