Input load identification using a holographic neural network
by Wakae Kozukue, Ichiro Hagiwara, Hideyuki Miyaji
International Journal of Vehicle Design (IJVD), Vol. 43, No. 1/2/3/4, 2007

Abstract: A machine generates and undergoes dynamic loads during its operation. These dynamic loads are the main source of vibration and noise. If the dynamic loads can be identified exactly, it will become possible to provide the data effective for the reduction of vibration and noise. However, by the method of identification of dynamic loads of the conventional multiple-input systems, noise has a large influence on accuracy. Thus, in this paper, an identification method based on a neural network is proposed for independent multiple-input loads, and the results of the simulation by using the conventional method and the neural network are shown and compared in detail.

Online publication date: Sun, 04-Feb-2007

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