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Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features.

, , , and . J. Comput. Inf. Sci. Eng., (2021)

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Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions., , and . Infotech@Aerospace, (2012)A Model-based Avionic Prognostic Reasoner (MAPR)., , , , , , and . Infotech@Aerospace, (2012)Precursor Parameter Identification for Insulated Gate Bipolar Transistor (IGBT) Prognostics., , , , and . IEEE Trans. Reliability, 58 (2): 271-276 (2009)Classifier Fusion Using Triangular Norms., , and . Multiple Classifier Systems, volume 3077 of Lecture Notes in Computer Science, page 154-163. Springer, (2004)Improving Classifier Fusion Using Particle Swarm Optimization., , , and . MCDM, page 128-135. IEEE, (2007)A Survey of Artificial Intelligence for Prognostics., and . AAAI Fall Symposium: Artificial Intelligence for Prognostics, volume FS-07-02 of AAAI Technical Report, page 108-115. AAAI Press, (2007)Applications of Soft CBR at General Electric., , and . Soft Computing in Case Based Reasoning, Springer, (2001)Special Issue: AI in equipment service., , , and . Artif. Intell. Eng. Des. Anal. Manuf., 15 (4): 265-266 (2001)Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features., , , and . J. Comput. Inf. Sci. Eng., (2021)A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance., , , , and . Reliab. Eng. Syst. Saf., (February 2024)