Abstract

Propeller cavitation noise analysis is necessary since this noise is one of the components of the ship noise signature that would be different for each type of the ship. Therefore, the noise can be used for detection and identification process of a ship. This noise can be simulated by doing the experiment generating one component of the ship noise signature, i.e. the propeller cavitation noise. The experiment is done in the cavitation tunnel of the Indonesian Hydrodynamic Laboratory (IHL), Surabaya, Indonesia to generate this noise. Two techniques, i.e. the Wigner-Ville distribution and the backpropagation neural network, are applied to analyse this noise. The results are compared to examine which technique shows better representation.

Original languageEnglish
Title of host publicationProgram Book - OCEANS 2012 MTS/IEEE Yeosu
Subtitle of host publicationThe Living Ocean and Coast - Diversity of Resources and Sustainable Activities
DOIs
Publication statusPublished - 2012
EventOCEANS 2012 MTS/IEEE Yeosu Conference: The Living Ocean and Coast - Diversity of Resources and Sustainable Activities - Yeosu, Korea, Republic of
Duration: 21 May 201224 May 2012

Publication series

NameProgram Book - OCEANS 2012 MTS/IEEE Yeosu: The Living Ocean and Coast - Diversity of Resources and Sustainable Activities

Conference

ConferenceOCEANS 2012 MTS/IEEE Yeosu Conference: The Living Ocean and Coast - Diversity of Resources and Sustainable Activities
Country/TerritoryKorea, Republic of
CityYeosu
Period21/05/1224/05/12

Keywords

  • Cavitation Tunnel
  • Neural Network
  • Propeller Cavitation Noise
  • Wigner-Ville Disribution

Fingerprint

Dive into the research topics of 'Analysis of propeller cavitation-induced signal using neural network and wigner-ville distribution'. Together they form a unique fingerprint.

Cite this