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Research on the Models of Coupling Dynamics and Damage Classification for Vehicle-Engine Vibration

机译:车机振动耦合动力学与损伤分类模型研究

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摘要

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.
机译:许多研究人员设计了动力学模型来研究车辆-发动机振动。然而,现有的力学模型相对简单,对发动机振动损伤的分析很少讨论。本文提出了车机振动耦合动力学和损伤分类模型。所提模型的主要优点是:(1)转子和套管系统采用有限元方法,通过定义支撑系统和连接方法对多旋翼和多壳体的复杂结构进行建模;(2)采用混合数值积分法求得非线性动力系统的固有频率;(3)选取基于反向传播(BP)神经网络和径向基函数(RBF)神经网络的算法构建转子损伤分类模型。基于发动机转子测试仪的实验结果表明,所提模型不仅比现有模型更可靠,而且表明该分类算法能够有效地支持发动机损伤分析。

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