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http://dx.doi.org/10.9766/KIMST.2017.20.4.505

Cavitation Noise Detection Method using Continuous Wavelet Transform and DEMON Signal Processing  

Lee, Hee-chang (The 6th Research and Development Institute, Agency for Defense Development)
Kim, Tae-hyeong (The 6th Research and Development Institute, Agency for Defense Development)
Sohn, Kwon (The 6th Research and Development Institute, Agency for Defense Development)
Lee, Phil-ho (The 6th Research and Development Institute, Agency for Defense Development)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.20, no.4, 2017 , pp. 505-513 More about this Journal
Abstract
Cavitation is a phenomenon caused by vapour cavities that is produced in rapid pressure changes. When the cavitation happened, the sound pressure level of a underwater radiated noise is increased rapidly. As a result, it can increase the probability of the identification or classification of a our warship's acoustic signature by an enemy ship. However, there is a problem that it is hard to precisely detect the occurrence of a cavitation noise. Therefore, this paper presents recent improvements in terms of the cavitation noise measurement by using continuous wavelet transform and DEMON(Detection of Envelope Modulation on Noise) signal processing. Then, we present that the suggested scheme is more suitable for detecting the cavitation than existing algorithms.
Keywords
Cavitation Noise; Cavitation Inception Speed; DEMON Signal Processing; Continuous Wavelet Transform;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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