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http://dx.doi.org/10.5050/KSNVE.2013.23.8.707

Prediction of Tire Pattern Noise Based on Image Signal Processing  

Kim, Byung-Hyun (AVSP Lab, Department of Mechanical Engineering, Inha University)
Hwang, Sung-Uk (AVSP Lab, Department of Mechanical Engineering, Inha University)
Lee, Sang-Kwon (AVSP Lab, Department of Mechanical Engineering, Inha University)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.23, no.8, 2013 , pp. 707-716 More about this Journal
Abstract
Tire noise is divided into two parts. One is pattern noise the other one is road noise. Pattern noise primarily occurs in over 500 Hz frequency but road noise occurs mainly in low frequency. It is important to develop a technology to predict the pattern noise at the design stage. Prediction technology of pattern noise has been developed by using image processing. Shape of tire pattern is computed by using imaging signal processing. Its results are different with the measured one. Therefore, the prediction of actual measured pattern noise is valuable. In the signal processing theory is applied to calculate the impulse response for the measurement environment. This impulse response used for the prediction of pattern noise by convolving this impulse response by the results of image processing of tire pattern.
Keywords
Image Processing; Optimal Filter; Convolution;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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