TY  - JOUR
T1  - ical Processing of Engine Vibration Signals for Knock Diagnosis
AU - Mageswari, A. Uma AU - Vinodha, R. 
JO  - International Journal of System Signal Control and Engineering Application
VL  - 12
IS  - 6
SP  - 121
EP  - 127
PY  - 2019
DA  - 2001/08/19
SN  - 1997-5422
DO  - ijssceapp.2019.121.127
UR  - https://makhillpublications.co/view-article.php?doi=ijssceapp.2019.121.127
KW  - Discrete Wavelet Transform (DWT)
KW  -knock
KW  -kurtosis
KW  -skewness
KW  -crest factor
AB  - The wavelet transform is the powerful tool
used in the field of signal processing. Many works have
been contributed to wavelet transform in the last two
decades and in precise in this decade, the researchers have
thrown a number of works in the field of signal processing
based on wavelet transform. This paper extends the idea
of Discrete Wavelet Transform (DWT) in knock signal
detection which is experienced in SI engine. Due to
abnormal combustion, the engine produces a pinging
noise which is termed as Knock signal. The knock signal
should be identified earlier since the frequent occurrence
of the knock signal would damage the engine. In this
work the statistical parameter of a knock signal such as
kurtosis, skewness and crest factor is determined by
employing the DWT. The experimental result shows that
the proposed system dominates the results produced by
conventional transform.
ER  -