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System dynamic reliability assessment and failure prognostics.

, and . Rel. Eng. & Sys. Safety, (2017)

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Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors., , , and . IJCNN, page 1615-1622. IEEE, (2017)Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery., , and . Appl. Soft Comput., 8 (4): 1365-1380 (2008)Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification., , and . Int. J. Intell. Syst., 24 (2): 118-151 (2009)Component Importance Measures for Components With Multiple Dependent Competing Degradation Processes and Subject to Maintenance., , and . IEEE Trans. Reliability, 65 (2): 547-557 (2016)Component Ranking by Birnbaum Importance in Presence of Epistemic Uncertainty in Failure Event Probabilities., , and . IEEE Trans. Reliability, 62 (1): 37-48 (2013)Optimal design of reliable network systems in presence of uncertainty., , , and . IEEE Trans. Reliability, 54 (2): 243-253 (2005)Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods., , , and . IEEE Trans. Reliability, 62 (4): 833-845 (2013)Genetic Algorithms in the Framework of Dempster-Shafer Theory of Evidence for Maintenance Optimization Problems., and . IEEE Trans. Reliability, 64 (2): 645-660 (2015)A novel dynamics model of fault propagation and equilibrium analysis in complex dynamical communication network., , , and . Appl. Math. Comput., (2014)Recognizing signal trends on-line by a fuzzy-logic-based methodology optimized via genetic algorithms., and . Eng. Appl. Artif. Intell., 20 (6): 831-849 (2007)