Title :
Instrumentation Model and Data Processing of Tire Dynamic Balance Using Multi-Sensors
Author :
Hang, Bailin ; Sun, Lianming
Author_Institution :
Coll. of Electromech. Eng., Qingdao Univ. of Sci. & Technol., Qingdao
Abstract :
The instrumentation of dynamic balance for automobile tire often uses multi-sensors and requires effective data processing techniques. In this paper, the mathematical instrumentation model is developed by considering the eccentric force and moment caused by unbalance mass. Furthermore, the data processing techniques based on the least squares are used to reduce the influence of measurement noise and improve the accuracy of unbalance instrumentation. It is shown that the proposed method can provide effective instrumentation for the tire dynamic balance.
Keywords :
automotive components; instrumentation; least squares approximations; noise; sensor fusion; tyres; automobile tire; data processing techniques; eccentric force; least squares; mathematical instrumentation model; measurement noise; multisensors; tire dynamic balance; Automobiles; Automotive materials; Data processing; Force sensors; Instruments; Least squares methods; Production; Signal processing; Tires; Vehicle dynamics;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.652