Development of a Vibration Identification Method Based on the Use of a Neural Network 951368
Most of the existing control techniques applied to automobiles are based on a linear model of the relevant dynamic system. However, in spite of the increasing demand for more sophisticated vehicles, very little research is being directed toward understanding and predicting the nonlinear response caused by non-predictable operating conditions such as the variation of suspension characteristics due to wear and tear or the frictional coefficient of the road. In this research, we used a neural network based identification technique to predict the structural response of dynamic systems and validated the technique through comparison with experimental data obtained with a cantilever beam. This identification technique is further extended to forecast the frictional coefficient μ of roads. Numerical results indicate promising future applications.
Citation: Pal, C., Hagiwara, I., Morishita, S., and Une, S., "Development of a Vibration Identification Method Based on the Use of a Neural Network," SAE Technical Paper 951368, 1995, https://doi.org/10.4271/951368. Download Citation
Author(s):
Chinmoy Pal, Ichiro Hagiwara, Shin Morishita, Soichiro Une
Affiliated:
Nissan Research Center, Yokohama National Univ.
Pages: 10
Event:
SAE Noise and Vibration Conference and Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Proceedings of the 1995 Noise and Vibration Conference-P-291, SAE 1995 Transactions: Journal of Passenger Cars-V104-6
Related Topics:
Neural networks
Identification
Research and development
Roads and highways
Wear
Vibration
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