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• W3014249802 abstract "Many researchers have designed the dynamic models to study the vehicle-engine vibration. However, the existing mechanical models are relatively simple, and the analysis of engine vibration damage is discussed rarely. In this paper, we proposed the models of coupling dynamics and damage classification of vehicle-engine vibration. The key advantages of these proposed models are (1) the finite elements method is adopted for the rotor and casing system, and the complex structure with multirotor and multicasing is modeled by defining support system and linking methods; (2) the hybrid numerical integral method is used to obtain the inherent frequency of the nonlinear dynamic system; and (3) the algorithms based on backpropagation (BP) neural network and radial basis function (RBF) neural network are chosen to construct the damage classification model of rotors. Experimental results based on the engine rotor tester prove that the proposed models are not only more robust than the existing works but also show that the classification algorithms can support engine damage analysis effectively." @default.
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• W3014249802 date "2020-03-31" @default.
• W3014249802 modified "2023-10-17" @default.
• W3014249802 title "Research on the Models of Coupling Dynamics and Damage Classification for Vehicle-Engine Vibration" @default.
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• W3014249802 doi "https://doi.org/10.1155/2020/5907613" @default.
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