Authors : A. Uma Mageswari and R. Vinodha
Abstract: 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.
A. Uma Mageswari and R. Vinodha, 2019. ical Processing of Engine Vibration Signals for Knock Diagnosis. International Journal of Signal System Control and Engineering Application, 12: 121-127.