Paper Info
Title
Fractional Autoregressive Integrated Moving Average and Finite-Element Modal: The Forecast of Tire Vibration Trend.
Abstract
This paper deals with the tire dynamic characteristics, which enable to forecast the trend of vibration signals, obtained from the tire-road system. Theory of the long-range dependence and the finite-element method were employed in this paper. To forecast the resonance effects, we use different frequency modes to avoid the appearance of undesirable inherent frequencies. The vibration intensity of the tire is related to the attrition rate with long-range dependence, which is distinguished by the Hurst effect. The model data can be obtained by the tire vibration sequence from a common pavement. Consequently, we used the fractional auto-regressive integrated moving average approach to forecast the vibration trend and the tire spectrum characteristics simultaneously. The proposed method can be useful for the monitoring of driving performance, tire design, and driving comfort improvement.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2855147
IEEE ACCESS
Keywords
Field
DocType
Fractional auto-regressive integrated moving average,finite-element method,long-range dependence,tire dynamics,trend forecasting
Control theory,Computer science,Autoregressive integrated moving average,Finite element method,Vehicle dynamics,Vibration,Moving average,Modal,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yujin Zhang111.37
Wanqing Song222.49
Mohammad Karimi3121.30
Chi-Hung Chi4746110.27
A. Kudreyko5132.56