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Vol.14, No1, 2014, pp.51–56 |
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PREVENTION OF ENGINE FAILURE WITH MISFIRE DETECTION Jasmina Lozanović Šajić1, Saša Petrović2, Vojkan Radonjić3 1)University of Belgrade, Innovation Centre of the Faculty of Mech. Engineering, jlozanovic@mas.bg.ac.rs 2)Department of Logistics (J-4) of SAF Belgrade, Serbia 3)Technical Overhauling Institution, Čačak, Serbia |
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Abstract Increasing requirements for a fuel economy, prevention of engine failure with misfire detection, exhaust emissions and the output performance and also the complexity of automotive engines necessitate the development of a new generation of engine control functionality. It is known that engine revolution analysis is an excellent tool for this purpose. The main goal in this paper is in defining the function of machine members for value distribution of crank shaft signal for a fault decision expert system, based on fuzzy logic. In combination with another data (i.e. O2 sensor or intake manifold embedded sensors) the quality decision process may be enhanced. Keywords: statistical analysis, engine rotation, fault diagnosis, data visualisation |
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