THE ROLE OF STATISTICAL ANALYSIS IN THE ASSESSMENT OF HARMFUL EMISSIONS IN A GASOLINE ENGINE WITH A FAULTY AND REPLACED OXYGEN SENSOR

Authors

statistical analysis, oxygen sensor, lambda sensor, harmful emissions, environmental indicators, gasoline engine.

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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