
DIAGNOSING FAULTS IN THE TIMING SYSTEM OF A PASSENGER CAR SPARK IGNITION ENGINE USING THE BAYES CLASSIFIER AND ENTROPY OF VIBRATION SIGNALS
Author(s) -
Piotr CZECH
Publication year - 2022
Publication title -
zeszyty naukowe - politechnika śląska. transport/scientific journal of silesian university of technology. series transport
Language(s) - English
Resource type - Journals
eISSN - 2450-1549
pISSN - 0209-3324
DOI - 10.20858/sjsutst.2022.116.5
Subject(s) - vibration , wavelet , ignition system , condition monitoring , automotive engineering , spark ignition engine , entropy (arrow of time) , computer science , naive bayes classifier , bayes' theorem , classifier (uml) , signal processing , engineering , artificial intelligence , bayesian probability , support vector machine , internal combustion engine , acoustics , physics , electrical engineering , quantum mechanics , aerospace engineering , telecommunications , radar