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Enabling Efficient Engineering Processes and Automated Analysis for Power Protection Systems.

, , , , , and . IEEE Syst. J., 12 (1): 340-349 (2018)

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An Agent-Based Implementation of Hidden Markov Models for Gas Turbine Condition Monitoring., , , and . IEEE Trans. Syst. Man Cybern. Syst., 44 (2): 186-195 (2014)Supporting group maintenance through prognostics-enhanced dynamic dependability prediction., , , , and . Reliab. Eng. Syst. Saf., (2017)Improved Dynamic Dependability Assessment Through Integration With Prognostics., , , , and . IEEE Trans. Reliability, 66 (3): 893-913 (2017)Improved power transformer condition monitoring under uncertainty through soft computing and probabilistic health index., , , , , and . Appl. Soft Comput., (2019)Prognostic Modeling Utilizing a High-Fidelity Pressurized Water Reactor Simulator., , and . IEEE Trans. Syst. Man Cybern. Syst., 48 (5): 727-732 (2018)The Industrialisation of a Multi-Agent System for Power Transformer Condition Monitoring., and . SGAI Conf. (Applications), page 165-178. Springer, (2004)Embedded Intelligence for Electrical Network Operation and Control., , and . IEEE Intelligent Systems, 26 (2): 38-45 (2011)Enabling Efficient Engineering Processes and Automated Analysis for Power Protection Systems., , , , , and . IEEE Syst. J., 12 (1): 340-349 (2018)Adaptive Power Transformer Lifetime Predictions Through Machine Learning and Uncertainty Modeling in Nuclear Power Plants., , , , , and . IEEE Trans. Ind. Electron., 66 (6): 4726-4737 (2019)Uncertainty-Aware Fusion of Probabilistic Classifiers for Improved Transformer Diagnostics., , , , , and . IEEE Trans. Syst. Man Cybern. Syst., 51 (1): 621-633 (2021)