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

Format:

Conference/Event

Author/Creator:

Pal, Chinmoy, author.

Conference Name:

SAE Noise and Vibration Conference and Exposition (1995-05-15 : Traverse City, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1995

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

951368

Access Restriction:

Restricted for use by site license