THE ROLE OF STATISTICAL ANALYSIS IN THE ASSESSMENT OF HARMFUL EMISSIONS IN A GASOLINE ENGINE WITH A FAULTY AND REPLACED OXYGEN SENSOR
Keywords:
statistical analysis, oxygen sensor, lambda sensor, harmful emissions, environmental indicators, gasoline engine.Abstract
This article examines the role of statistical analysis in the study of environmental
indicators of a gasoline engine with a faulty and a replaced oxygen sensor. The aim is to determine
how statistical methods support an objective assessment of the impact of technical malfunctions on
harmful emissions. The study was conducted on a Toyota Avensis 1.8 VVT-i (2008), with
measurements performed using a TEXA RC3 gas analyzer. The obtained results were processed
statistically using mean value, standard deviation, coefficient of variation, and percentage change.
The findings show that a faulty lambda sensor leads to a significant increase in CO and HC
emissions, while its replacement reduces these values by more than 80%, thereby improving the
environmental performance of the engine.
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