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HICSS
2006
IEEE

New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies

10 years 25 days ago
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Often times, only partial information is available: installation date and amount, as well as failure and replacement rates. By combining sufficiently large number of yearly populations of the components, estimation of model parameters may be possible. The parametric models may then be used for forecasting of the system’s short term future failure and for formulation of replacement strategies. We employ the Weibull distribution and show how we estimate its parameters from past failure data. Using Monte Carlo simulations, it is possible to assess confidence ranges of the forecasted component performance data. .
Miroslav Begovic, Petar M. Djuric, Joshua Perkel,
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where HICSS
Authors Miroslav Begovic, Petar M. Djuric, Joshua Perkel, Branislav Vidakovic, Damir Novosel
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