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本文根据神经网络理论,建立了单一工况下由发动机悬置点振动信号预测车内特定点低频噪声的神经网络模型。并针对驾驶员耳旁噪声进行了实验研究,结果表明:基于神经网络的单一工况车内噪声预测模型,可在频域内很好地预测出特定点的车内噪声。
Based on neural network theory, a neural network model for predicting the low frequency noise of a specific point in a vehicle under a single operating condition is established based on the vibration signal of the engine suspension point. The experimental study on the driver’s ear noise shows that the noise prediction model based on neural network in a single working environment can predict the noise in a specific location in the frequency domain.