Prediction of Correct Readings of Car Engine Mass Air Flow Sensors

Izdanje: Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research

DOI: 10.15308/Sinteza-2021-3-8

Oblast: Computer Science, Computational Methods, Algorithms and Artificial Intelligence

Stranice: 3-8

Apstrakt:
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.
Ključne reči: Can-bus, Automotive, Mass air flow sensor, Linear regression, Random forest
Priložene datoteke:
  • 3-8 ( veličina: 850,38 KB, broj pregleda: 325 )

Preuzimanje citata:

BibTeX format
@article{article,
  author  = {D. Čugalj, M. Marjanović Jakovljević and M. Živković}, 
  title   = {Prediction of Correct Readings of Car Engine Mass Air Flow Sensors},
  journal = {Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research},
  year    = 2021,
  pages   = {3-8},
  doi     = {10.15308/Sinteza-2021-3-8}
}
RefWorks Tagged format
RT Conference Proceedings
A1 Dejan Čugalj
A1 Marina Marjanović Jakovljević
A1 Miodrag Živković
T1 Prediction of Correct Readings of Car Engine Mass Air Flow Sensors
AD Univerzitet Singidunum, Beograd, Beograd, Srbija
YR 2021
NO doi: 10.15308/Sinteza-2021-3-8
Unapred formatirani prikaz citata
D. Čugalj, M. Marjanović Jakovljević and M. Živković, Prediction of Correct Readings of Car Engine Mass Air Flow Sensors, Univerzitet Singidunum, Beograd, 2021, doi:10.15308/Sinteza-2021-3-8