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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pan, J. Wang, Z. Lubkeman, D. |
| Copyright Year | 2009 |
| Description | Author affiliation: KEMA Inc., Raleigh NC 27606 USA (Lubkeman, D.) || ABB Corporate Research US Center, Raleigh NC, 27606 USA (Pan, J.; Wang, Z.) |
| 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. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 395216 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424438105 |
| DOI | 10.1109/PSCE.2009.4839968 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | condition-based maintenance Optimization methods Equipment failure statistics Power transformers Data mining Statistics Preventive maintenance reliability assessment Underground power cables Circuit breakers Failure analysis Equipment failure Power system reliability failure rate modeling |
| Content Type | Text |
| Resource Type | Article |
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