2022
DOI: 10.20858/sjsutst.2022.116.5
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Diagnosing Faults in the Timing System of a Passenger Car Spark Ignition Engine Using the Bayes Classifier and Entropy of Vibration Signals

Abstract: Today's systems for diagnosing the technical condition of machines, including vehicles, use very advanced methods of acquiring and processing input data. Presently, work is being conducted globally to solve related problems. At the moment, it is not yet possible to create a single procedure that would enable the construction of a properly functioning diagnostic system, regardless of the selected object to be diagnosed. Hence, there is a need to conduct further research into the possibility of using already dev… Show more

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Cited by 4 publications
(4 citation statements)
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“…The differences between the laboratory values of the NO x emissions and the emission values obtained in the real traffic may be caused due to a different driving dynamics. [6][7][8][9][10]…”
Section: Methodology and Conditionsmentioning
confidence: 99%
“…The differences between the laboratory values of the NO x emissions and the emission values obtained in the real traffic may be caused due to a different driving dynamics. [6][7][8][9][10]…”
Section: Methodology and Conditionsmentioning
confidence: 99%
“…2), resonances from individual harmonic components of excitation can be moved from the operational speed range (OSR) of a mechanical system and herewith the value of dynamic component M D of the transmitted load torque can be reduced, i.a. [22][23][24][25][26][27][28]. Thus, we say that we can tune the mechanical system in terms of the magnitude of torsional vibration.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…The entire issue is very extensive and includes aspects such as safety and lifetime of machines [3][4][5][6][7][8][9] and protection of workers against noise and vibration [10,11]. In the field of piston combustion engines, as a source of vibration, emphasis is placed on improving their efficiency and reducing emissions [12][13][14].…”
Section: Introductionmentioning
confidence: 99%