Open AccessPower spectral estimation of engine block vibrations to classify and predict the occurrence of knock
Author(s) -
Vanderburgh Joseph,
Gireesh Kumaran Thampi
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1114/1/012055
Subject(s) - vibration , spectral density , cylinder block , combustion , block (permutation group theory) , accelerometer , acoustics , power (physics) , signal (programming language) , automotive engineering , fast fourier transform , computer science , fourier transform , engineering , physics , diesel engine , mathematics , telecommunications , chemistry , algorithm , geometry , organic chemistry , quantum mechanics , programming language , operating system
The study focuses on developing a sophisticated technology for determining the occurrence of knocking in SI engines. Fast Fourier Transform is performed on the engine block vibration signal to obtain the power spectral estimation. Window size of the signal is varied to extract the signals produced during the combustion inside each cylinder alone. The results obtained show that there is a clear demarcation between the power spectrum obtained during the occurrence of knock and normal combustion. Also, knock can be classified based on the intensity as strong, moderate or weak by analysing the vibration signals alone. This technique makes it suitable to be used in SI engine to investigate the combustion process in all the cylinders individually using an accelerometer mounted on the engine block.