Lorenzo Natoli
Detection of Misfire through Knock sensor signal.
Rel. Ezio Spessa, Roberto Finesso, Omar Marello. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2023
Abstract
Constraints imposed in the last decades on emission reductions heavily influenced the evolution of technologies whose work rests on internal combustion engines. Stricter carbon dioxide emission regulations shifted the focus towards fuels like Hydrogen, with the consequent rise of uncertainties regarding the combustion profile. One of the crucial points analyzed by INNIO, an Austrian company manufacturing power-generating units, was the instability of a fuel like Hydrogen and the possible risk of compromising the lifespan of essential ICE components. Given the imprevedibilities and abnormalities encountered during the combustion process, a way to identify missing combustion cycles, called misfires is a crucial topic.
Through the study of previous works, signal analysis, and continuous wavelet transformation methods, it is possible to obtain noteworthy results following different manipulations of the raw data generated by a piezoelectric knock sensor installed on the cylinder head of an ICE
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