Modeling Distributed and Flexible PHM Framework Based on the Belief Function Theory
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Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63211-2_13
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3. Arcieri, G., Hoelzl, C., Schwery, O., Straub, D., Papakonstantinou, K.G., Chatzi, E.: Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: an application to railway systems. Reliab. Eng. Syst. Saf. 239, 109496 (2023)
4. Barnett, J.A.: Calculating dempster-shafer plausibility. IEEE Trans. Pattern Anal. Mach. Intell. 13(6), 599–602 (1991). https://doi.org/10.1109/34.87345
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