Search Results

A sound quality index evaluating the quality of these two sounds objectively is therefore required and is developed by using an artificial neural network (ANN) in the present paper. Throughout this research, the booming sound and rumbling sound were found to effectively relate the loudness, sharpness and roughness.

This method creates an artificial intelligence learning model by scanning the entire tire image with the leading edge, making input factors by Gaussian curve fitting of the tread profile spectrum and air volume velocity spectrum according to the tire rotation speed and evaluating the vehicle road noise. ...Recently, a technology to predict the tire pattern noise using a supervised training method of artificial neural network (ANN) has been developed. The tire tread depth is estimated using the shading of the full image of the actual tire, and the leading edge of the contact patch is calculated using tire contact patch images.

The classification of defection and the sound quality index are developed based on artificial neural network (ANN). The convolutional neural network (CNN) is used for the classification of defections and the images of sound metric for the noise data measured from R-MDPS system are the input data of CNN.