2020
DOI: 10.1007/s40032-020-00591-6
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Dynamic Analysis of a Turbocharger Rotor-Bearing System in Transient Operating Regimes

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Cited by 8 publications
(3 citation statements)
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“…The TCR operation fails for such reasons as bearings wear and shaft cracks [27], so the TCR configuration should be sufficiently reliable and resistant to negative impacts. Mutra et al [28] developed a numerical simulation platform to study the influence of the bearing parameters and the load factor on the amount of exhaust gases and the rotor speed. To predict the optimal bearing parameters, a surrogate model was used combined with a trained backpropagation neural network model, which turned out to be more efficient than other models.…”
Section: Introductionmentioning
confidence: 99%
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“…The TCR operation fails for such reasons as bearings wear and shaft cracks [27], so the TCR configuration should be sufficiently reliable and resistant to negative impacts. Mutra et al [28] developed a numerical simulation platform to study the influence of the bearing parameters and the load factor on the amount of exhaust gases and the rotor speed. To predict the optimal bearing parameters, a surrogate model was used combined with a trained backpropagation neural network model, which turned out to be more efficient than other models.…”
Section: Introductionmentioning
confidence: 99%
“…The TCR rotor-bearing system experiences significant thermal loads and should be subject to frequent fault monitoring [28]. The study [28] revealed patterns of rotor failures in startup and stop conditions.…”
Section: Introductionmentioning
confidence: 99%
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