Analysis of contamination in a failing diesel engine using thermography
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Abstract
Vehicle emissions legislation is becoming stricter as it aims to minimize the impact of internal combustion engines on the environment. These emissions change drastically when there are faults. This research focuses on defining the relationships between data that represent the failure conditions in a turbocharged diesel engine through thermographic analysis, considering the quantity of particles and opacity. There have been 45 types of failures associated with the opening of the exhaust gas recirculation valve (EGR) and restriction in the exhaust with different engine speeds. To these data, we have analyzed the mean with its standard deviation, the root mean square (RMS), statistical significance and correlation to determine which variables are strongly correlated. The results obtained show that the most relevant statistical parameters that characterize the induced faults are: the maximum and minimum values of temperature, the mean and the RMS. It is also observed that, if the opening of the EGR and increased the revolutions per minute or the restriction area in the exhaust decreases, the pollution increases.
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