DocumentCode :
3214173
Title :
Condition based failure rate modeling for electric network components
Author :
Pan, J. ; Wang, Z. ; Lubkeman, D.
Author_Institution :
ABB Corp. Res. US Center, Raleigh, NC
fYear :
2009
fDate :
15-18 March 2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents methodologies to estimate electric network component failure rates. A component is made of subcomponents and the failure of each subcomponent is feature dependent. Features are measurable or observable inputs, which can affect the life of one or more subcomponents. Failure statistics are usually available in the electric power industry for the component and its subcomponents. This paper shows how to use the failure statistics to obtain the failure rate of a particular component according to its real conditions. An illustrative example is given to demonstrate how the proposed methodologies are applied for failure rate estimation of power circuit breakers. The methodologies can be used for condition-based reliability analysis for electric power networks, in order to obtain an optimized maintenance strategy.
Keywords :
circuit breakers; failure analysis; maintenance engineering; power system reliability; statistical analysis; condition based failure rate modeling; condition-based reliability analysis; electric network components; electric power networks; failure statistics; optimized maintenance strategy; power circuit breakers; Circuit breakers; Data mining; Equipment failure; Failure analysis; Optimization methods; Power system reliability; Power transformers; Preventive maintenance; Statistics; Underground power cables; Equipment failure statistics; condition-based maintenance; failure rate modeling; reliability assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3810-5
Electronic_ISBN :
978-1-4244-3811-2
Type :
conf
DOI :
10.1109/PSCE.2009.4839968
Filename :
4839968
Link To Document :
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