A Low-Cost Data Acquisition System for Automobile Dynamics Applications
Industrial Engineering Department, Universidad Antonio de Nebrija, 55 Pirineos Street, 28040 Madrid, Spain
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Sensors 2018, 18(2), 366; https://doi.org/10.3390/s18020366
Received: 19 December 2017
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Revised: 24 January 2018
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Accepted: 25 January 2018
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Published: 27 January 2018
(This article belongs to the Section Physical Sensors)
This project addresses the need for the implementation of low-cost acquisition technology in the field of vehicle engineering: the design, development, manufacture, and verification of a low-cost Arduino-based data acquisition platform to be used in <80 Hz data acquisition in vehicle dynamics, using low-cost accelerometers. In addition to this, a comparative study is carried out of professional vibration acquisition technologies and low-cost systems, obtaining optimum results for low- and medium-frequency operations with an error of 2.19% on road tests. It is therefore concluded that these technologies are applicable to the automobile industry, thereby allowing the project costs to be reduced and thus facilitating access to this kind of research that requires limited resources.
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Keywords:
Arduino; data logger; low cost; accelerometer; automobile; dynamics; MEMS
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
MDPI and ACS Style
González, A.; Olazagoitia, J.L.; Vinolas, J. A Low-Cost Data Acquisition System for Automobile Dynamics Applications. Sensors 2018, 18, 366. https://doi.org/10.3390/s18020366
AMA Style
González A, Olazagoitia JL, Vinolas J. A Low-Cost Data Acquisition System for Automobile Dynamics Applications. Sensors. 2018; 18(2):366. https://doi.org/10.3390/s18020366
Chicago/Turabian StyleGonzález, Alejandro, José Luis Olazagoitia, and Jordi Vinolas. 2018. "A Low-Cost Data Acquisition System for Automobile Dynamics Applications" Sensors 18, no. 2: 366. https://doi.org/10.3390/s18020366
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