Prediction of Correct Readings of Car Engine Mass Air Flow Sensors


DOI: https://doi.org/10.15308/Sinteza-2021-3-8
Authors:
Dejan Čugalj
Marina Marjanović Jakovljević
Miodrag Živković

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Keywords:
Can-bus, Automotive, Mass air flow sensor, Linear regression, Random forest


Abstract:
Let us suppose a situation in which it is necessary to check the car before going on a journey, a situation in which breakdowns appear but also mysteriously disappear, a situation where solving problems with the vehicle is only possible by looking at the data obtained by reading sensors, routine vehicle checking (insight into data irregularity), "real-time" monitoring of car condition… The main goal of this paper is the early detection of erroneous readings of vehicle airflow systems in real time and constant monitoring of the subject vehicle, by coupling and using trained models based on machine learning tools of artificial intelligence and using "Infinity" device.

CITATION:

IEEE format

D. Čugalj, M. Marjanović Jakovljević, M. Živković, “Prediction of Correct Readings of Car Engine Mass Air Flow Sensors,” in Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2021, pp. 3-8. doi:10.15308/Sinteza-2021-3-8

APA format

Čugalj, D., Marjanović Jakovljević, M., Živković, M. (2021). Prediction of Correct Readings of Car Engine Mass Air Flow Sensors. Paper presented at Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2021-3-8

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