Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nestor Diego Rivera-Campoverde"'
Publikováno v:
IEEE Access, Vol 11, Pp 126155-126171 (2023)
This paper introduces EngineFaultDB, a novel dataset capturing the intricacies of automotive engine diagnostics. Centered around the widely represented C14NE spark ignition engine, data was collected under controlled laboratory conditions, simulating
Externí odkaz:
https://doaj.org/article/a394fda4f9e24daf8ae24577231e7b40
Publikováno v:
Sensors, Vol 24, Iss 7, p 2304 (2024)
This paper focuses on the emissions of the three most sold categories of light vehicles: sedans, SUVs, and pickups. The research is carried out through an innovative methodology based on GPS and machine learning in real driving conditions. For this p
Externí odkaz:
https://doaj.org/article/14a04e0f4f0f4fc19e8cd4ccd5265383
Publikováno v:
Sensors, Vol 21, Iss 19, p 6344 (2021)
This article proposes a methodology for the estimation of emissions in real driving conditions, based on board diagnostics data and machine learning, since it has been detected that there are no models for estimating pollutants without large measurem
Externí odkaz:
https://doaj.org/article/f5380416471e4b369c67db7cb61eef53