Development of a Vibration Identification Method Based on the Use of a Neural Network

951368

05/01/1995

Event
SAE Noise and Vibration Conference and Exposition
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/951368
Pages
10
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.
Additional Details
Publisher
Published
May 1, 1995
Product Code
951368
Content Type
Technical Paper
Language
English