Minimizing the Discrepancy between Simulated and Historical Failures in Turbine Engines: A Simulation-Based Optimization Method

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Kibria, Ahmed; Castillo-Villar, Krystel K.; Millwater, Harry;

The reliability modeling of a module in a turbine engine requires knowledge of its failure rate, which can be estimated by identifying statistical distributions describing the percentage of failure per component within the turbine module. The correct definition of the f... View more
  • References (22)
    22 references, page 1 of 3

    Rosen, S. L., Harmonosky, C. M.. An improved simulated annealing simulation optimization method for discrete parameter stochastic systems. Computers and Operations Research. 2005; 32 (2): 343-358

    Abernethy, R. B.. The New Weibull Handbook. 2006

    Life Data Classification, null. ReliaWiki Web Resource.

    Weisstein, E. W..

    Kirkpatrick, S., Gelatt, C. D., Vecchi, M. P.. Optimization by simulated annealing. Science. 1983; 220 (4598): 671-680

    Černý, V.. Thermodynamical approach to the traveling salesman problem: an efficient simulation algorithm. Journal of Optimization Theory and Applications. 1985; 45 (1): 41-51

    Dekkers, A., Aarts, E.. Global optimization and simulated annealing. Mathematical Programming, Series B. 1991; 50 (1–3): 367-393

    Locatelli, M.. Simulated annealing algorithms for continuous global optimization: convergence conditions. Journal of Optimization Theory and Applications. 2000; 104 (1): 121-133

    Özdamar, L., Demirhan, M.. Experiments with new stochastic global optimization search techniques. Computers and Operations Research. 2000; 27 (9): 841-865

    Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., Teller, E.. Equation of state calculations by fast computing machines. The Journal of Chemical Physics. 1953; 21 (6): 1087-1092

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