Research on load prediction model construction method of the tire condition monitoring system-Reference-Cited by-同舟云学术

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Research on load prediction model construction method of the tire condition monitoring system

Published:2021-11-20 Issue:12 Volume:43 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Zhao Qiang^ORCID,Fu Hongxun,Zhang Yu,Gang Xianyue,Tan Di

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s40430-021-03272-2.pdf

Reference31 articles.

1. Yi X, Tuononen A (2015) The In-plane deformation of a tire carcass: analysis and measurement. Case Stud Mech Syst Signal Process 2:12–18. https://doi.org/10.1016/j.csmssp.2015.09.001

2. Niskanen AJ, Tuononen AJ (2014) Three 3-axis accelerometers fixed inside the tyre for studying contact patch deformations in wet conditions. Veh Syst Dyn 52(1):287–298. https://doi.org/10.1080/00423114.2014.898777

3. Matilainen M, Tuononen A (2015) Tyre contact length on dry and wet road surfaces measured by three-axial accelerometer. Mech Syst Signal Process 52–53:548–558. https://doi.org/10.1016/j.ymssp.2014.08.002

4. Daniel GP, Oluremi O, Jorge Y, Yang X, Vicente D (2017) A novel strain-based method to estimate tire conditions using fuzzy logic for intelligent tires. Sensors (Basel, Switzerland) 17(2):350. https://doi.org/10.3390/s17020350

5. Niskanen A, Tuononen A (2015) Three three-axis iepe accelerometers on the inner liner of a tire for finding the tire-road friction potential indicators. Sensors 15(8):19251–19263. https://doi.org/10.3390/s150819251

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