Engine Vibration Data Increases Prognosis Accuracy on Emission Loads: A Novel Statistical Regressions Algorithm Approach for Vibration Analysis in Time Domain

Engine Vibration Data Increases Prognosis Accuracy on Emission Loads: A Novel Statistical Regressions Algorithm Approach for Vibration Analysis in Time Domain

Statistical regression models have rarely been used for engine exhaust emission parameters. This paper presents a three-step statistical analysis algorithm, which shows increased prediction accuracy when using vibration and sound pressure data as a covariate variable in the exhaust emission predicti...

Full description

Bibliographic Details
Main Authors: Tadas Žvirblis, Darius Vainorius, Jonas Matijošius, Kristina Kilikevičienė, Alfredas Rimkus, Ákos Bereczky, Kristóf Lukács, Artūras Kilikevičius
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Symmetry
Subjects:
biodiesel
exhausted emission
statistical regression analysis
linear regression models
Online Access:https://www.mdpi.com/2073-8994/13/7/1234

Internet

https://www.mdpi.com/2073-8994/13/7/1234

Similar Items